The idea of people experiencing their favorite mobile apps as immersive 3D environments took a step closer to reality with a new Google-funded research iniative at Georgia Tech. 

A new approach proposed by Tech researcher Yalong Yang uses generative artificial intelligence (GenAI) technologies to convert almost any mobile or web-based app into a 3D environment. 

That includes application software programs from Microsoft and Adobe as well as any social media (Tiktok), entertainment (Spotify), banking (PayPal), or food service app (Uber Eats) and everything in between.

Yang aims to make the 3D environments compatible with augmented and virtual reality (AR/VR) headsets and smart glasses. He believes his research could be a breakthrough in spatial computing and change how humans interact with their favorite apps and computer systems in general.

“We’ll be able to turn around and see things we want, and we can grab them and put them together,” said Yang, an assistant professor in the School of Interactive Computing. “We’ll no longer use a mouse to scroll or the keyboard to type, but we can do more things like physical navigation.”

Yang’s proposal recently earned him recognition as a 2025 Google Research Scholar. Along with converting popular social apps, his platform will be able to instantly render Photoshop, MS Office, and other workplace applications in 3D for AR/VR devices.

“We have so many applications installed in our machines to complete all the various types of work we do,” he said. “We use Photoshop for photo editing, Premiere Pro for video editing, Word for writing documents. We want to create an AR/VR ecosystem that has all these things available in one interface with all apps working cohesively to support multitasking.”

Filling The Gap With AI

Just as Google’s Veo and Open AI’s Sora use generative-AI to create video clips, Yang believes it can be used to create interactive, immersive environments for any Android or Apple app. 

“A critical gap in AR/VR is that we do not have all those existing applications, and redesigning all those apps will take forever,” he said. “It’s urgent that we have a complete ecosystem in VR to enable us to do the work we need to do. Instead of recreating everything from scratch, we need a way to convert these applications into immersive formats.”

Walk into any room Aleksandra Teng Ma’s been working in this summer, and you’ll probably hear a mix of experimental sounds, snippets of Amy Winehouse vocals, and the occasional Animal Crossing tune playing in the background. That’s just how her brain works—blending tech, artistry, and everyday play into something entirely her own.

Aleksandra is a master’s student in Music Technology at Georgia Tech, but “student” barely scratches the surface. This summer, she’s been everywhere—physically in Massachusetts and intellectually somewhere between a Pride performance and a human-AI jam session at MIT.

“I’m always with my microphone and MIDI keyboard,” she says, like it’s just second nature. “I love singing and coming up with tunes.”

Live from MIT — It’s Human + AI Jamming
Forget dusty textbooks and silent labs—Aleksandra’s research life is about real-time musical interactions between humans and AI. As a visiting researcher at MIT this summer, she’s digging into what it looks like when musicians "jam" with intelligent systems. Think futuristic band practice, but with algorithms joining in.

“It’s giving me a lot of exposure to co-design methodologies,” she explains, “and letting me observe how musicians respond to each other—and to AI.”

It’s not just code and theory, either. The insights come alive when she brings them to the stage. This summer, Aleksandra’s band performed at The Music Porch in Reading, MA for Pride Month. Their cover of Pink Pony Club turned into a moment she won’t forget.

“It was so fun seeing people—especially teenagers—singing and dancing together,” she says. “That’s one of those moments where I just thought, yep, this is why I picked music tech.”

From Winehouse Covers to Ableton Experiments
Despite her research chops, Aleksandra hasn’t lost touch with the joy of just making music. She sings and plays keyboard in a band, covers Amy Winehouse songs, and occasionally writes music just for fun. (Her dream studio partner? You guessed it: Amy herself.)

She’s also been expanding her technical toolkit this summer, diving deeper into sound design with Ableton and Serum.

“Still learning,” she says, “but I’m using them for sound design in songs—and loving it.”

And then there are the unexpected “whoa” moments. Like when she built a vocal patch for the Pixies’ Where Is My Mind? to use live during a performance.

“It was haunting,” she says. “And it worked so well live.”

Dream Tech and Georgia Tech
Ask Aleksandra what she’d invent if she could mash up two instruments, and she already has an idea:

“Automatic vocal effects through a microphone with a built-in amplifier,” she says, laughing. “Honestly, someone probably already made this, but I want it anyway.”

That kind of thinking is exactly what her time at Georgia Tech has sparked. Before the program, she saw music mostly through the lens of conventional instruments. Now? She’s all about how software and hardware can expand what music even is.

Her Summer, in Sound
If Aleksandra’s summer had a vibe, it’d be:

• A creek bubbling in the background
• A long, ghostly reverb trail on a siren vocal
• And the ever-cozy tones of Animal Crossing

Not exactly your typical lab soundtrack—but that’s the beauty of it.

This fall, she’s heading back to Georgia Tech after a gap year at Bose, ready to jump into research on multimodal music source separation (AKA teaching machines to pick apart and understand layers in music the way humans do).

And yes, she’ll still be singing.

Hits with Aleksandra

• Current summer jams: Rosebud by Oklou & the new Lorde album
• What people don’t “get” about her work: “How music signals work on a granular level”

Aleksandra Ma doesn’t just study music tech—she lives it. Whether she’s tweaking reverb patches, performing under porch lights, or teaching AI how to groove, she’s showing what it really means to be a 21st-century musician.

A groundbreaking new medical dataset is poised to revolutionize healthcare in Africa by improving chatbots’ understanding of the continent’s most pressing medical issues and increasing their awareness of accessible treatment options.

AfriMed-QA, developed by researchers from Georgia Tech and Google, could reduce the burden on African healthcare systems. 

The researchers said people in need of medical care file into overcrowded clinics and hospitals and face excruciatingly long waits with no guarantee of admission or quality treatment. There aren’t enough trained healthcare professionals available to meet the demand.

Some healthcare question-answer chatbots have been introduced to treat those in need. However, the researchers said there’s no transparent or standardized way to test or verify their effectiveness and safety.

The dataset will enable technologists and researchers to develop more robust and accessible healthcare chatbots tailored to the unique experiences and challenges of Africa. 

One such new tool is Google’s MedGemma, a large-language model (LLM) designed to process medical text and images. AfriMed-QA was used for training and evaluation purposes.

AfriMed-QA stands as the most extensive dataset that evaluates LLM capabilities across various facets of African healthcare. It contains 15,000 question-answer pairs culled from over 60 medical schools across 16 countries and covering numerous medical specialties, disease conditions, and geographical challenges. 

Tobi Olatunji and Charles Nimo co-developed AfriMed-QA and co-authored a paper about the dataset that will be presented at the Association for Computational Linguistics (ACL) conference next week in Vienna.

Olatunji is a graduate of Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program and holds a Doctor of Medicine from the College of Medicine at the University of Ibadan in Nigeria. Nimo is a Ph.D. student in Tech’s School of Interactive Computing, where he is advised by School of IC professors Michael Best and Irfan Essa.

Focus on Africa

Nimo, Olatunji, and their collaborators created AfriMed-QA as a response to MedQA, a large-scale question-answer dataset that tests the medical proficiency of all major LLMs. That includes Google’s Gemini, OpenAI’s ChatGPT, and Anthropic’s Claude, among others.

However, because MedQA is trained solely on the U.S. Medical License Exams, Nimo said it is not adequate to serve patients in underdeveloped African countries nor the Global South at-large.

“AfriMed-QA has the contextualized and localized understanding of African medical institutions that you don’t get from Med-QA,” Nimo said. “There are specific diseases and local challenges in our dataset that you wouldn't find in any U.S.-based dataset.”

Olatunji said one problem African users may encounter using LLMs trained on MedQA is that they may advise unfeasible treatments or unaffordable prescription drugs.

“You consider the types of drugs, diagnostics, procedures, or therapies that exist in the U.S. that are quite advanced. These treatments are much more accessible, for example in the US, and Europe,” Olatunji said. “But in Africa, they’re too expensive and many times unavailable. They may cost over $100,000, and many people have no health insurance. Why recommend such treatments to someone who can’t obtain them?”

Another problem may be that the LLM doesn’t take a medical condition seriously if it isn’t predominant in the U.S.

“We tested many of these models, for example, on how they would manage sickle-cell disease signs and symptoms, and they focused on other “more likely” causes and did not rank or consider sickle cell high enough as a possible cause,” he said. “They, for example, don’t consider sickle-cell as important as anemia and cancer because sickle-cell is less prevalent in the U.S.”

In addition to sickle-cell disease, Olatunji said some of the healthcare issues facing Africa that can be improved through AfriMed-QA include:

• HIV treatment and prevention
• Poor maternal healthcare
• Widespread malaria cases
• Physician shortage
• Clinician productivity and operational efficiency

Google Partnership

Mercy Asiedu, senior author of the AfriMed-QA paper and research scientist at Google Research, has dedicated her career to improving healthcare in Africa. Her work began as a Ph.D. student at Duke University, where she invented the Callascope, a groundbreaking non-invasive tool for gynecological examinations

With her current focus on democratizing healthcare through artificial intelligence (AI), Asiedu, who is from Ghana, helped create a research consortium to develop the dataset. The consortium consists of Georgia Tech, Google, Intron, Bio-RAMP Research Labs, the University of Cape Coast, the Federation of African Medical Students Association, and Sisonkebiotik.

Sisonkebiotik is an organization of researchers that drives healthcare initiatives to advance data science, machine learning, and AI in Africa.

Olatunji leads the Bio-RAMP Research Lab, a community of healthcare and AI researchers, and he is the founder and CEO of Intron, which develops natural-language processing technologies for African communities.

In May, Google released MedGemma, which uses both the MedQA and Afri-MedQA datasets to form a more globally accessible healthcare chatbot. MedGemma has several versions, including 4-billion and 27-billion parameter models, which support multimodal inputs that combine images and text.

“We are proud the latest medical-focused LLM from Google, MedGemma, leverages AfriMed-QA and improves performance in African contexts,” Asiedu said. 

“We started by asking how we could reduce the burden on Africa’s healthcare systems. If we can get these large-language models to be as good as experts and make them more localized with geo-contextualization, then there’s the potential to task-shift to that.”

The project is supported by the Gates Foundation and PATH, a nonprofit that improves healthcare in developing countries.

Overwhelmed doctors and nurses struggling to provide adequate patient care in South Korea are getting support from Georgia Tech and Korean-based researchers through an AI-powered robotic medical assistant.

Top South Korean research institutes have enlisted Georgia Tech researchers Sehoon Ha and Jennifer G. Kim to develop artificial intelligence (AI) to help the humanoid assistant navigate hospitals and interact with doctors, nurses, and patients.

Ha and Kim will partner with Neuromeka, a South Korean robotics company, on a five-year, 10 billion won (about $7.2 million US) grant from the South Korean government. Georgia Tech will receive about $1.8 million of the grant.

Ha and Kim, assistant professors in the School of Interactive Computing, will lead Tech’s efforts and also work with researchers from the Korea Advanced Institute of Science and Technology and the Electronics and Telecommunications Research Institute.

Neuromeka has built industrial robots since its founding in 2013 and recently decided to expand into humanoid service robots.

Lee, the group leader of the humanoid medical assistant project, said he fielded partnership requests from many academic researchers. Ha and Kim stood out as an ideal match because of their robotics, AI, and human-computer interaction expertise. 

For Ha, the project is an opportunity to test navigation and control algorithms he’s developed through research that earned him the National Science Foundation CAREER Award. Ha combines computer simulation and real-world training data to make robots more deployable in high-stress, chaotic environments. 

“Dr. Ha has everything we want to put into our system, including his navigation policies,” Lee said. “He works with robots and AI, and there weren’t many candidates in that space. We needed a collaborator who can create the software and has experience running it on robots.”

Ha said he is already considering how his algorithms could scale beyond hospitals and become a universal means of robot navigation in unstructured real-world environments.

“For now, we’re focusing on a customized navigation model for Korean environments, but there are ways to transfer the data set to different environments, such as the U.S. or European healthcare systems,” Ha said. 

“The final product can be deployed to other systems and industries. It can help industrial workers at factories, retail stores, any place where workers can get overwhelmed by a high volume of tasks.”

Kim will focus on making the robot’s design and interaction features more human. She’ll develop a large-language model (LLM) AI system to communicate with patients, nurses, and doctors. She’ll also develop an app that will allow users to input their commands and queries. 

“This project is not just about controlling robots, which is why Dr. Kim’s expertise in human-computer interaction design through natural language was essential.,” Lee said. 

Kim is interviewing stakeholders from three South Korean hospitals to identify service and care pain points. The issues she’s identified so far relate to doctor-patient communication, a lack of emotional support for patients, and an excessive number of small tasks that consume nurses’ time.

“Our goal is to develop this robot in a very human-centered way,” she said. “One way is to give patients a way to communicate about the quality of their care and how the robot can support their emotional well-being.

“We found that patients often hesitate to ask busy nurses for small things like getting a cup of water. We believe this is an area a robot can support.”

The robot’s hardware will be built in Korea, while Ha and Kim will develop the software in the U.S.

Jong-hoon Park, CEO of Neuromeka, said in a press release the goal is to have a commercialized product as soon as possible. 

“Through this project, we will solve problems that existing collaborative robots could not,” Park said. “We expect the medical AI humanoid robot technology being developed will contribute to reducing the daily work burden of medical and healthcare workers in the field.”

According to the National Institutes of Health, nearly one-fourth of the U.S. population over age 45 suffers from foot and ankle issues, which reduce their quality of life, adversely affect walking and other daily functions, and increase the risk of falls.

For orthopedic patients recovering from surgery, walking properly can speed recovery, enabling them to more quickly regain mobility and quality of life. Walking issues or problems with one’s gait can also indicate larger medical problems, from vascular disease to brain, nerve, or spinal cord injuries.

Three alumni from Georgia Tech’s School of Electrical and Computer Engineering and School of Bioengineering hope to help doctors and patients analyze walking patterns through their wearable sensor startup,  StrideLink. 

“In the same way a cardiologist puts an EKG on you to monitor your heart, we essentially have designed that for walking ability,” says StrideLink founder and CEO Marzeah “Zea” Khorramabadi.

Initially targeting orthopedic practices for their platform, the HIPAA-compliant system wirelessly analyzes patients’ gaits to help doctors remotely monitor their walking ability before and after surgery to better address issues and provide more personalized treatment. 

The 26-year-old Georgia Tech graduate of computer engineering founded StrideLink in 2021 with two other Tech students: Cassandra McIltrot, a 2022 biomedical and medical engineering graduate, and Neel Narvekar, who completed his computer engineering studies in 2021.

Since starting StrideLink, the three have raised just under $1 million in pre-seed funding and are now starting their seed funding push.

McIltrot, 24, serves as research director at StrideLink. She says talking to surgeons, physical therapists, and patients was invaluable in building the StrideLink platform, which includes a physical sensor that connects via Bluetooth to a mobile platform. Orthopedic physicians can then access a secure interface to view their patients’ gait data.

“Being able to learn from all those people helped us build something that will bring value,” she says.

Narvekar, the startup’s CTO, calls the technology “a game-changer,” noting, “For the first time, we can widely collect clinically relevant gait data. Starting in orthopedics, this means we can build datasets to predict recovery timelines, identify when patients are off track, and intervene before adverse events occur. Ultimately, this will pave the way for improved care across a range of health conditions."

The enterprising entrepreneurs didn’t do it alone. They leveraged CREATE-X, which supports students in launching successful startups through education, coaching, funding, and other resources. 

Below, Khorramabadi and McIltrot share more about their journey as members of the first cohort of CREATE-X’s Female Founders program in Fall 2020. In Summer 2021, the duo completed Startup Launch, a 12-week summer accelerator that helps students launch startups.  

Did you two always want to start your own business?

Khorramabadi: It was kind of inevitable for Cassie and me. My dad immigrated from Iran and met my mom here. He started his own business selling cars. So, I grew up with a family that was running a small business. I’ve always had that in me, and it was the expectation that I would go to college. I picked Georgia Tech specifically because they had showcased the CREATE-X program during the tour.

McIltrot: My dad had a construction consulting business, and my mom was a nurse. That’s where the medical influence came from for me. He’s also an engineer. The summer that we decided to pursue this, I was doing research on stroke rehab at Emory. 

How did you come up with  your big idea?    

Khorramabadi: In the middle of the pandemic, there was a lot of emphasis on technology — leaving the clinic and being in a patient's home. How are we going to deliver healthcare effectively when patients aren't directly in front of their doctor? 

At the same time, Cassie was doing stroke research, and there was a lot around how heavily walking ability, walking patterns, or your gait is affected. We talked to healthcare professionals, physical therapists, surgeons, everyone. And it was clear that there was a pretty big gap in the market in terms of the technology that would serve these patients who have any symptoms that show up in their walking ability. It wasn’t measured at all. So, we ended up landing on a gait monitor as a solution. 

We realized there was a very immediate, straightforward need for our product in orthopedics. If you're getting a knee replacement, ankle, or foot surgery, it's valuable to be able to put this product on a patient preoperatively to better prepare them for surgery. Surgeons can take real measurements of what their patients’ walking ability looks like before surgery and then track them throughout the entirety of their post-op recovery, which can be three months, six months, or even 12 months.

How does the solution work?

Khorramabadi: We designed our platform from the ground up. Our physical sensor connects to a mobile application. That mobile application connects to an entire cloud architecture that has processing servers and database storage. On the physician side, we have an interface for them to view data that fits into their workflow, including receiving insurance reimbursement. The technology component was designed in-house by Neil and me, given our backgrounds in computer engineering.

Are you using AI or advanced analytics in your platform?

Khorramabadi: We have a lot of very advanced data processing methods that are entirely proprietary to our system. We’ve acquired enough data from all of the patients we've seen with Emory, and now we're tracking patients remotely, where we are starting to use real clinical data to train AI to deliver a performance score to these patients. It’s essentially one number that rates how you’re doing related to a healthy or normal gait. We're already using AI right now, and that's something that's going to be released with our product within the next six months.

Where are you in terms of product maturity?

Khorramabadi: We recently started with our first fully remote full-time customer. Before that, we were doing research with another physician at Emory, where they had used it for over a year. At this point, they've tracked over 250 patients, where they put the sensors on at their pre-op appointment and then track them during post-op follow-ups. 

They weren’t sent home with the sensors until our sensor was FDA-listed last year, and then we started our first pilot with a private practice in Amelia Island, Florida, last October. That has gone incredibly well, so we just expanded to an orthopedic practice in Alabama, and we should be getting two more practices started in 2025. We've solidified the product fit, and we’re now at the point of scaling it. We also have a research partnership with Children's Hospital Colorado to work on a pediatrics application. 

What was most helpful about the CREATE-X programs you participated in at Georgia Tech?

Khorramabadi: Georgia Tech makes exploring doing a startup easy and low-risk for any student. The fact that it was so accessible was monumental early on. In terms of programming, the most valuable part was the emphasis on customer discovery. They did a good job, saying, “You don't know what to build until you talk to enough customers.”

We needed a mentor as part of our first startup class, and we read how James Stubbs, a tenured professor in biomedical engineering, was a previous founder. He’d done a couple of medical device companies that had been acquired. At our first meeting, he told us we need to talk to people. From a business standpoint, it made more sense for us to go to orthopedics rather than physical therapy for a whole host of reasons. But the biggest takeaway of talking to customers was a very consistent experience with both the Startup Launch and the Female Founders program. 

McIltrot: The Female Founders program did a fantastic job of that, where we set goals as teams and were encouraged to talk to as many people we think are going to be our customers. We then met as a group and presented what we learned.  

So you have to get out of get out of your comfort zone, and not be shy about engaging with people.   Cassie, what was the big benefit for you?

McIltrot: We were the first cohort for Female Founders. We checked in every week with our team. Everyone would talk about what they learned that week while talking to people. We were the only medical-focused startup in the program, but being able to share the experience of how we approached people allowed us to learn from each other. We like keeping up with each other on LinkedIn. We learned one of the people in our cohort just closed a funding round.

Is having a community of other women entrepreneurs helpful?

Khorramabadi: Definitely. We’ve gotten a lot out of building a network, especially coming from starting this out of college, where you don't have any industry connections built up yet.  

What has been the biggest value from your experience participating in Startup Launch? 

Khorramabadi: Networking has been the biggest value for both Startup Launch and Female Founders. Both of those programs emphasized networking and customer discovery. Being involved in both programs at the same time kept us focused on that. 

Startup Launch was a good crash course in how you set up your company from a legal aspect, as well as the conversations you need to have with your co-founders, and this is how you pitch and how you raise investment. All these topics are very foreign, and there's not a lot of good information out there on them. So, it was important to have that in the program. It was also nice to connect with Georgia Tech founders who had started companies and seen some success. The program brought them in to talk to us and share what they'd learned. It was nice to have that extra guidance. 

What is the biggest benefit of your innovation?

Khorramabadi: The biggest value is knowing how you're doing right now, and also, if you're not doing well, your physician being able to make changes quickly to your plan of care. The platform also lets patients realize what may be contributing to their getting reinjured or having a slower recovery.

What has been the impact of your platform to date?

Khorramabadi: We've already seen the immediate ROI in terms of patients just feeling much better and much more comfortable in their recovery and being able to push themselves a little bit further than they would have otherwise, because they know they have this product that's tracking them, and they know their physician also is tracking them. 

On the physician side, there's a lot of incentive for them, because they see this as a tool to stay connected with their patients, which is incredibly valuable for them for delivering the best care or best experience for those patients. Also, this product is now covered by Medicare, CIGNA, and United Healthcare.

McIltrot: One of the things we have heard from patients is they’re using this to instill confidence in their walking ability and their recovery. Because these recovery timelines could be six months to a year to multiple years long, being able to have something that shows how much you've been able to improve is invaluable. 

Our future vision is being able to put this on a patient and have a projected recovery laid out. One day, this device could provide recommendations on what went wrong and how to fix it. Being proactive with the care that we deliver to patients is the end goal.

Any advice for Georgia Tech students thinking about taking an innovative idea to market? 

Khorramabadi: Go for it. Startups are always a risk, and Georgia Tech provides you with a safety net to take that risk. If you have an idea on how to solve a problem, why wait? Don't hesitate.

If you are looking for a supportive community to help you start your entrepreneurial journey, applications for the Female Founders Program are open until May 19 for Summer 2025. Apply for Female Founders today and over the summer learn entrepreneurship from an all-female coaching team, network with experts and successful entrepreneurs, build your network, and access funding to kick off a startup. Admissions are rolling.

 For those interested in seeing the latest startups coming out of CREATE-X, join us for Demo Day 2025! On Aug. 28 at 5 p.m., over 100 startups will fill Exhibition Hall, debuting technologies from clean tech to fashion. Register today for this free event that attracts over 1,500 attendees, from business leaders to enthusiasts, and see how our founders are tackling issues across industries.

Georgia Tech professors Michelle LaPlaca and W. Hong Yeo have been selected as recipients of Peterson Professorships with the Children’s Healthcare of Atlanta Pediatric Technology Center (PTC) at Georgia Tech. The professorships, supported by the G.P. “Bud” Peterson and Valerie H. Peterson Faculty Endowment Fund, are meant to further energize the Georgia Tech and Children’s partnership by engaging and empowering researchers involved in pediatrics.

In a joint statement, PTC co-directors Wilbur Lam and Stanislav Emelianov said, “The appointment of Dr. LaPlaca and Dr. Yeo as Peterson Professors exemplifies the vision of Bud and Valerie Peterson — advancing innovation and collaboration through the Pediatric Technology Center to bring breakthrough ideas from the lab to the bedside, improving the lives of children and transforming healthcare.”

LaPlaca is a professor and associate chair for Faculty Development in the Department of Biomedical Engineering, a joint department between Georgia Tech and Emory University. Her research is focused on traumatic brain injury and concussion, concentrating on sources of heterogeneity and clinical translation. Specifically, she is working on biomarker discovery, the role of the glymphatic system, and novel virtual reality neurological assessments.    

“I am thrilled to be chosen as one of the Peterson Professors and appreciate Bud and Valerie Peterson’s dedication to pediatric research,” she said. “The professorship will allow me to broaden research in pediatric concussion assessment and college student concussion awareness, as well as to identify biomarkers in experimental models of brain injury.”

In addition to the research lab, LaPlaca will work with an undergraduate research class called Concussion Connect, which is part of the Vertically Integrated Projects program at Georgia Tech.

“Through the PTC, Georgia Tech and Children’s will positively impact brain health in Georgia’s pediatric population,” said LaPlaca.

Yeo is the Harris Saunders, Jr. Professor in the George W. Woodruff School of Mechanical Engineering and the director of the Wearable Intelligent Systems and Healthcare Center at Georgia Tech. His research focuses on nanomanufacturing and membrane electronics to develop soft biomedical devices aimed at improving disease diagnostics, therapeutics, and rehabilitation.

“I am truly honored to be awarded the Peterson Professorship from the Children’s PTC at Georgia Tech,” he said. “This recognition will greatly enhance my research efforts in developing soft bioelectronics aimed at advancing pediatric healthcare, as well as expand education opportunities for the next generation of undergraduate and graduate students interested in creating innovative medical devices that align seamlessly with the recent NSF Research Traineeship grant I received. I am eager to contribute to the dynamic partnership between Georgia Tech and Children’s Healthcare of Atlanta and to empower innovative solutions that will improve the lives of children.”

The Peterson Professorships honor the former Georgia Tech President and First Lady, whose vision for the importance of research in improving pediatric healthcare has had an enormous positive impact on the care of pediatric patients in our state and region.

The Children’s PTC at Georgia Tech brings clinical experts from Children’s together with Georgia Tech scientists and engineers to develop technological solutions to problems in the health and care of children. Children’s PTC provides extraordinary opportunities for interdisciplinary collaboration in pediatrics, creating breakthrough discoveries that often can only be found at the intersection of multiple disciplines. These collaborations also allow us to bring discoveries to the clinic and the bedside, thereby enhancing the lives of children and young adults. The mission of the PTC is to establish the world’s leading program in the development of technological solutions for children’s health, focused on three strategic areas that will have a lasting impact on Georgia’s kids and beyond.

Peter Yunker boils down his advice for researchers wanting to commercialize their lab advances. 

“You can’t go it alone,” said Yunker, an associate professor of physics at Georgia Tech. 

In January, Yunker co-founded the biotechnology startup TopoDx LLC, with David Weiss, an Emory University School of Medicine researcher and director of the Emory Antibiotic Resistance Center, and Yogi Patel, a Georgia Tech alumnus with a background in business development and bioengineering. 

“Researchers often think that they have a good commercialization idea to help people, but that alone does not guarantee success,” said Yunker. “Look for partners with complementary skills who understand aspects of the commercialization process that you don’t. Find mentors with business and scientific backgrounds in the specific industry you want to enter.”

TopoDx has developed a microbial test to identify antibiotic resistance and susceptibility rapidly and accurately. Current tests produce a result in three to five days. TopoDx’s approach can gain a result within four hours. Every hour counts in treating serious infections. Delays in accurate treatment can increase antibiotic resistance, which is a global challenge, causing up to 1 million deaths a year. 

The company’s testing method was inspired by a fundamental biophysics project in Yunker’s lab. His team was interested in understanding how bacterial colonies behave. They tested white-light interferometry, a technology that can measure bacterial colonies down to the nanometer level. 

“White-light interferometry allowed us to identify changes in the topography of a colony that indicated larger changes in the volume of cells in the entire colony,” said Yunker. “We thought this might have practical applications.” 

The next step was giving research talks at meetings and looking for collaborators. “I wanted to find someone with expertise on the bacteriology side, and I was very fortunate to meet David Weiss,” Yunker said, noting his proficiency in heteroresistance, a phenomenon where a small subset of a bacterial colony resists an antibiotic. 

“If you have just one antibiotic-resistant cell in a hundred cells, it can cause treatments to fail,” said Yunker. 

The two collaborators hoped to commercialize their technology, identifying heteroresistance in microbial samples. However, they needed guidance in creating a business model. They consulted Harold Solomon, an entrepreneur with Georgia Tech VentureLab and a principal in the Quadrant-i program, a specialized program helping Georgia Tech faculty and students commercialize research.  

Solomon became a key mentor. He guided them away from an ill-advised partnership and instead introduced them to Yogi Patel, who became a co-founder and the company CEO. 

This new collaboration provided the team with an important lesson — one that Yunker passes along to other researchers looking to commercialize their discoveries. “Seek expertise outside your field, be humble about your knowledge limitations, and view collaboration as a strategic partnership,” he says.

When Patel came on board, he conducted extensive interviews with more than 15 clinical professionals.

“You need to interview end users or purchasers of whatever solution you want to build,” said Patel. “Ask them if the problem you think you may have solved is a problem with scale, with a market need.” 

Clinicians, Patel learned, did not see heteroresistance as a significant issue. Instead, the slow pace of antibiotic testing was identified as a major problem. Faster testing could allow clinicians to prescribe targeted drugs more quickly and accurately, reducing unnecessary antibiotic use and the risk of multi-resistant infections. 

With this survey information, Patel asked Yunker and Weiss to rethink how their technology could be commercialized. 

“A company must solve a real-world problem,” said Patel. “I recommended that we switch from heteroresistance to solving slow antibiotic testing. We could keep heteroresistance as something we can still do as a second or third priority.” 

TopoDx’s new technology can measure, with single-nanometer accuracy, how bacterial colonies are responding to antibiotics in real time. This method could revolutionize how antibiotics are tested and prescribed. Testing would be conducted on a countertop device about the size of a large microwave. The co-founders envision the device as eventually being used by urgent care facilities and hospitals. 

“We want to make microbial testing susceptibility accessible anywhere and everywhere,” said Patel.   

Adam Krueger, once a Ph.D. student in Yunker's lab, has continued to refine the technology. Now a post-doctoral researcher, Krueger joined TopoDx in a technical leadership role to expand the technology’s capabilities for microbiological diagnostics.

“We will keep pushing the envelope forward scientifically while we try to commercialize the accomplishments that we have already made,” Yunker said. “We hope that some fundamental studies we are doing now out of scientific curiosity could lead to further commercial applications.”

Georgia Tech faculty members and graduate students, join the Quadrant-i Startup Launch Program to commercialize your research this summer: Over 12 weeks, you'll receive comprehensive support including guidance from experienced mentors, a $10,000 commercialization grant, and $150,000 worth of in-kind services. Showcase your innovation at Demo Day, where you'll have the opportunity to present to over 1,500 attendees, including industry leaders and investors. Apply today! Applications close April 11.

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied to other models that predict how natural systems impact society. 

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

In experiments predicting medium-range weather forecasting and shallow water wave propagation, Latent-EnSF demonstrated higher accuracy, faster convergence, and greater efficiency than existing methods for sparse data assimilation.

“We are currently involved in an NSF-funded project aimed at providing real-time information on extreme flooding events in Pinellas County, Florida,” said Si, who studies computational science and engineering (CSE). 

“We're actively working on integrating Latent-EnSF into the system, which will facilitate accurate and synchronized modeling of natural disasters. This initiative aims to enhance community preparedness and safety measures in response to flooding risks.” 

Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave propagation experiments. These tests show models can make better and faster predictions of coastal flood waves, tides, and tsunamis. 

In experiments on medium-range weather forecasting, Latent-EnSF surpassed the same three control models in accuracy, convergence, and time. Additionally, this test demonstrated Latent-EnSF's scalability compared to other methods.

These promising results support using ML models to simulate climate, weather, and other complex systems.

Traditionally, such studies require employment of large, energy-intensive supercomputers. However, advances like Latent-EnSF are making smaller, more efficient ML models feasible for these purposes.

The Georgia Tech team mentioned this comparison in its paper. It takes hours for the European Center for Medium-Range Weather Forecasts computer to run its simulations. Conversely, the ML model FourCastNet calculated the same forecast in seconds.

“Resolution, complexity, and data-diversity will continue to increase into the future,” said Chen, an assistant professor in the School of CSE. 

“To keep pace with this trend, we believe that ML models and ML-based data assimilation methods will become indispensable for studying large-scale complex systems.”

Data assimilation is the process by which models continuously ingest new, real-world data to update predictions. This data is often sparse, meaning it is limited, incomplete, or unevenly distributed over time. 

Latent-EnSF builds on the Ensemble Filter Scores (EnSF) model developed by Florida State University and Oak Ridge National Laboratory researchers. 

EnSF’s strength is that it assimilates data with many features and unpredictable relationships between data points. However, integrating sparse data leads to lost information and knowledge gaps in the model. Also, such large models may stop learning entirely from small amounts of sparse data.

The Georgia Tech researchers employ two variational autoencoders (VAEs) in Latent-EnSF to help ML models integrate and use real-world data. The VAEs encode sparse data and predictive models together in the same space to assimilate data more accurately and efficiently.

Integrating models with new methods, like Latent-EnSF, accelerates data assimilation. Producing accurate predictions more quickly during real-world crises could save lives and property for communities.

[Related: University of South Florida Researchers Track Flooding in Coastal Communities During Hurricanes Helene and Milton]

To share Latent-EnSF to the broader research community, Chen and Si presented their paper at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organized CSE25, held March 3-7 in Fort Worth, Texas.

Chen was one of ten School of CSE faculty members who presented research at CSE25, representing one-third of the School’s faculty body. Latent-EnSF was one of 15 papers by School of CSE authors and one of 23 Georgia Tech papers presented at the conference.

The pair will also present Latent-EnSF at the upcoming International Conference on Learning Representations (ICLR 2025). Occurring April 24-28 in Singapore, ICLR is one of the world’s most prestigious conferences dedicated to artificial intelligence research.

“We hope to bring attention to experts and domain scientists the exciting area of ML-based data assimilation by presenting our paper,” Chen said. “Our work offers a new solution to address some of the key shortcomings in the area for broader applications.”

On April 21 at 5 p.m. in the Marcus Nanotechnology Building Atrium, dozens of teams will present prototypes at the Spring 2025 Idea to Prototype (I2P) Showcase. They will be vying for a chance to get a golden ticket in CREATE-X’s Startup Launch program, which gives participants $5,000 in optional seed funding and $150,000 in in-kind services like accounting and legal services, mentorship, and entrepreneurial education, among other benefits. 

The I2P course, where these students develop their prototypes, offers research credit for undergraduate students up to $500 in reimbursement for physical material expenses and faculty mentorship. It’s open three times a year, in the spring, summer, and fall. Both undergraduate and graduate students can take the course, and students can take it up two times. 

Convexity Electronics finished in second place at the Fall 2024 I2P Showcase. The company delivers smaller, faster, and more cost-effective circuit boards compared to traditional lithography-based methods. We delved into the team’s journey, challenges, and aspirations in this exclusive Q&A with one of its founders, Calla Scotch.

Q&A with Team Convexity's Calla Scotch

Team Members:

Calla Scotch, Sophomore, Mechanical Engineering and Materials Science and Engineering 

Atharva Lele, Sophomore, Engineering 

Anuj Pandey, Junior, Mechanical Engineering

Why did you pursue your startup?

It’s so complex. There are so many routes, and it's so new in terms of how many people are working on it. One day I woke up and couldn't stop thinking about it, then I couldn't sleep about it, and then I couldn't stop working on it. It was one of those things where I couldn't stop.

Traditionally, circuit boards — the stuff that's in your phones, computers, cameras, cars, everything — are made entirely subtractively. You have your block of material and cut away the stuff you don't want. It's a well-thought-out manufacturing process, but it's mostly very expensive and very slow. The materials and electronics manufacturing industry hasn't changed in about 30 years because it's been optimized as much as it can be. 

What is your goal with Convexity?

To take that subtractive process and, instead of doing that, build the same circuits additively. I'm working on 3D printing the insulative base material, then 3D printing the conductive material, then using an electrical process to take those conductive materials and convert them into copper. And then doing layer after layer after layer to make the same circuits that someone in a subtractive process would do.

If you have traditional manufacturing, it takes about two weeks to ship from China, and it takes about a week to make a lab. My goal would be to make them in about five hours and then courier them over the same day. You don't need a big serial manufacturing facility if someone needs 6,000 boards. You don't have 6,000 printers in one room; all your printers are connected to the cloud. You could even go from 2D electronics to three-dimensional electronics. We just want to make more, smaller, faster, and cheaper than traditional manufacturing.

What surprised you about I2P?
How much time it took out of my day and how much I didn't want to do as much homework anymore. It made me want to focus all of my time on this and on how many different avenues there were to do what I wanted to do. I probably went through 30 different iterations of completely different scientific topics. I think because of how many options there were and how crazy scientifically advanced each of them was, it is what keeps me going.

What was your favorite part about I2P?

I did I2P for two semesters, and the best thing about it is getting to work on your own project and your own research for class credit.

What was challenging about building your prototype over the semester?

Sifting through all the research and development that has gone into this field. Electronics manufacturing has been around for a long time, and there's a lot of research and patents to work through and build on. I feel like I spent half my time coming up with ideas and the other half building the physical printer.

 

What would you say to students who are interested in entrepreneurship?
I can't tell you how much I've learned just by doing. Outside of that, talk to people. Just go out and talk to people. Ask people questions. Have your problem and get their input and insight on it, because how we make smart decisions and make startups that people want is by asking people what they want. 

Cheer on Convexity as they pitch their prototype at the final round of the InVenture Prize, on March 12, at 7:30p.m., in the Ferst Theater of Arts. During this competition, the largest of its kind in the nation, a panel of celebrity judges and experts in science, technology, and venture capital will judge undergraduate teams competing for $35,000, including $5,000 for the People’s Choice award. Through audience voting, you get to advance the projects you support. Request your free InVenture Prize tickets today.

Want to be part of the next wave of technological advancements? Register for the Spring 2025 I2P Showcase to see our latest cohort of I2P inventors and their prototypes. Consider joining I2P for Summer or Fall 2025. For more information, visit the I2P program website.