Our world is powered by chemical reactions. From new medicines and biotechnology to sustainable energy solutions developing and understanding the chemical reactions behind innovations is a critical first step in pioneering new advances. And a key part of developing new chemistries is discovering how the rates of those chemical reactions can be accelerated or changed. 

For example, even an everyday chemical reaction, like toasting bread, can substantially change in speed and outcome — by increasing the heat, the speed of the reaction increases, toasting the bread faster. Adding another chemical ingredient — like buttering the bread before frying it — also changes the outcome of the reaction: the bread might brown and crisp rather than toast. The lesson? Certain chemical reactions can be accelerated or changed by adding or altering key variables, and understanding those factors is crucial when trying to create the desired reaction (like avoiding burnt toast!).

Chemists currently use quantum chemistry techniques to predict the rates and energies of chemical reactions, but the method is limited: predictions can usually only be made for up to a few hundred atoms. In order to scale the predictions to larger systems, and predict the environmental effects of reactions, a new framework needs to be developed.

Jesse McDaniel (School of Chemistry and Biochemistry) is creating that framework by leveraging computer modeling techniques. Now, a new NSF CAREER grant will help him do so. The National Science Foundation Faculty Early Career Development Award is a five-year grant designed to help promising researchers establish a foundation for a lifetime of leadership in their field. Known as CAREER awards, the grants are NSF’s most prestigious funding for untenured assistant professors. 

“I am excited about the CAREER research because we are really focusing on fundamental questions that are central to all of chemistry,” McDaniel says about the project.

Pioneering a new framework

“Chemical reactions are inherently quantum mechanical in nature,” McDaniel explains. “Electrons rearrange as chemical bonds are broken and formed.” While this type of quantum chemistry can allow scientists to predict the rates and energies of different reactions, these predictions are limited to only tens or hundreds of atoms. That’s where McDaniel’s team comes in. They’re developing modeling techniques based on quantum chemistry that could function over multiple scales, using computer models to scale the predictions. They hope this will help predict environmental effects on chemical reaction rates.

By developing modeling techniques that can be applied to reactions at multiple scales, McDaniel aims to expand scientist’s ability to predict and model chemical reactions, and how they interact with their environments. “Our goal is to understand the microscopic mechanisms and intermolecular interactions through which chemical reactions are accelerated within unique solvation environments such as microdroplets, thin films, and heterogenous interfaces,” McDaniel says. He hopes that it will allow for computational modeling of chemical reactions in much larger systems.  

Interdisciplinary research

As a theoretical and computational chemist, McDaniel’s chemistry experiments don’t take place in a typical chemistry lab — rather, they take place in a computer lab,  where Georgia Tech’s robust computer science and software development community functions as a key resource.

“We run computer simulations on high performance computing clusters,” McDaniel explains. “In this regard, we benefit from the HPC infrastructure at Georgia Tech, including the Partnership for an Advanced Computing Environment (PACE) team, as well as the computational resources provided in the new CODA building.” 

“Software is also a critical part of our research,” he continues. “My colleague Professor David Sherrill and his group are lead developers of the Psi4 quantum chemistry software, and this software comprises a core component of our multi-scale modeling efforts.”

In this respect, McDaniel is eager to to involve the next generation of chemists and computer scientists, showcasing the connection between these different fields. McDaniel’s team will partner with regional high school teachers, collaborating to integrate software and data science tools within the high school educational curriculum.

“One thing I like about this project,” McDaniel says, “is that all types of chemists — organic, inorganic, analytical, bio, physical, etc. — care about how chemical reactions happen, and how reactions are influenced by their surroundings.”

Coral reef conservation is a steppingstone to protect marine biodiversity and life in the ocean as we know it. The health of coral also has huge societal implications: reef ecosystems provide sustenance and livelihoods for millions of people around the world. Conserving biodiversity in reef areas is both a social issue and a marine biodiversity priority.

In the face of climate change, Annalisa Bracco, professor in the School of Earth and Atmospheric Sciences at Georgia Institute of Technology, and Lyuba Novi, a postdoctoral researcher, offer a new methodology that could revolutionize how conservationists monitor coral. The researchers applied machine learning tools to study how climate impacts connectivity and biodiversity in the Pacific Ocean’s Coral Triangle — the most diverse and biologically complex marine ecosystem on the planet. Their research, recently published in Nature Communications Biology, overcomes time and resource barriers to contextualize the biodiversity of the Coral Triangle, while offering hope for better monitoring and protection in the future.

“We saw that the biodiversity of the Coral Triangle is incredibly dynamic,” Bracco said. “For a long time, it has been postulated that this is due to sea level change and distribution of land masses, but we are now starting to understand that there is more to the story.”

Connectivity refers to the conditions that allow different ecosystems to exchange genetic material such as eggs, larvae, or the young. Ocean currents spread genetic material and also create the dynamics that allow a body of water — and thus ecosystems — to maintain consistent chemical, biological, and physical properties. If coral larvae are spread to an ecoregion where the conditions are very similar to the original location, the larvae can start a new coral.

Bracco wanted to see how climate, and specifically the El Niño Southern Oscillation (ENSO) in its phases — El Niño, La Niña, and neutral conditions — impacts connectivity in the Coral Triangle. Climate events that move large masses of warm water in the Pacific Ocean bring enormous changes and have been known to exacerbate coral bleaching, in which corals turn white due to environmental stressors and become vulnerable to disease.

“Biologists collect data in situ, which is extremely important,” Bracco said. “But it’s not possible to monitor enormous regions in situ for many years — that would require a constant presence of scuba divers. So, figuring out how different ocean regions and large marine ecosystems are connected over time, especially in terms of foundational species, becomes important.”

Machine Learning for Discovering Connectivity

Years ago, Bracco and collaborators developed a tool, Delta Maps, that uses machine learning to identify “domains,” or regions within any kind of system that share the same dynamic. Bracco initially used it to analyze domains of climate variability in models but also suspected it could be used to study ecoregions in the ocean.

For this study, they used the tool to map out domains of connectivity in the Coral Triangle using 30 years of sea surface temperature data. Sea surface temperatures change in response to ocean currents over scales of weeks and months and across distances of tens of kilometers. These changes are relevant to coral connectivity, so the researchers built their machine learning tool based on this observation, using changes in surface ocean temperature to identify regions connected by currents. They also separated the time periods that they were considering into three categories: El Niño events, La Niña events, and neutral or “normal” times, painting a picture of how connectivity was impacted during major climate events in particular ecoregions.

Novi then applied a ranking system to the different ecoregions they identified. She used rank page centrality, a machine learning tool that was invented to rank webpages on the internet, on top of Delta Maps to identify which coral ecoregions were most strongly connected and able to receive the most coral larvae from other regions. Those regions would be the ones most likely sustain and survive through a bleaching event.

Climate Dynamics and Biodiversity

Bracco and Novi found that climate dynamics have contributed to biodiversity because of the way climate introduces variability to the currents in the equatorial Pacific Ocean. The researchers realized that alternation of El Niño and La Niña events has allowed for enormous genetic exchanges between the Indian and Pacific Oceans and enabled the ecosystems to survive through a variety of different climate situations.

“There is never an identical connection between ecoregions in all ENSO phases,” Bracco said. “In other parts of the world ocean, coral reefs are connected through a fixed, often small, number of ecoregions, and if you eliminate this fixed number of connections by bleaching all connected reefs, you will not be able to rebuild the corals in any of them. But in the Pacific the connections are changing all the time and are so dynamic that soon enough the bleached reef will receive larvae from completely different ecoregions in a different ENSO phase.”

They also concluded that, because of the Coral Triangle’s dynamic climate component, there is more possibility for rebuilding biodiversity there than anywhere else on the planet. And that the evolution of biodiversity in the Coral Triangle is not only linked to landmasses or sea levels but also to the evolution of ENSO through geological times. The researchers found that though ENSO causes coral bleaching, it has helped the Coral Triangle become so rich in biodiversity.

Better Monitoring Opportunities

Because coral reef survival has been designated a priority by the United Nations Sustainable Development Goals, Bracco and Novi’s research is poised to have broad applications. The researchers’ method identified which ecoregions conservationists should try hardest to protect and also the regions that conservationists could expect to have the most luck with protection measures. Their methodology can also help to identify which regions should be monitored more and the ones that could be considered lower priority for now due to the ways they are currently thriving.

“This research opens a lot of possibilities for better monitoring strategies, and especially how to monitor given a limited amount of resources and money,” Bracco said. “As of now, coral monitoring often happens when groups have a limited amount of funding to apply to a very specific localized region. We hope our method can be used to create a better monitoring over larger scales of time and space.”

CITATION: Novi, L., Bracco, A. “Machine learning prediction of connectivity, biodiversity and resilience in the Coral Triangle.” Commun Biol 5, 1359 (2022). 

DOI: https://doi.org/10.1038/s42003-022-04330-8

Though it is a cornerstone of virtually every process that occurs in living organisms, the proper folding and transport of biological proteins is a notoriously difficult and time-consuming process to experimentally study.

In a new paper published in eLife, researchers in the School of Biological Sciences and the School of Computer Science have shown that AF2Complex may be able to lend a hand.

Building on the models of DeepMind’s AlphaFold 2, a machine learning tool able to predict the detailed three-dimensional structures of individual proteins, AF2Complex — short for AlphaFold 2 Complex — is a deep learning tool designed to predict the physical interactions of multiple proteins. With these predictions, AF2Complex is able to calculate which proteins are likely to interact with each other to form functional complexes in unprecedented detail.

“We essentially conduct computational experiments that try to figure out the atomic details of supercomplexes (large interacting groups of proteins) important to biological functions,” explained Jeffrey Skolnick, Regents’ Professor and Mary and Maisie Gibson Chair in the School of Biological Sciences, and one of the corresponding authors of the study. With AF2Complex, which was developed last year by the same research team, it’s “like using a computational microscope powered by deep learning and supercomputing.”

In their latest study, the researchers used this ‘computational microscope’ to examine a complicated protein synthesis and transport pathway, hoping to clarify how proteins in the pathway interact to ultimately transport a newly synthesized protein from the interior to the outer membrane of the bacteria — and identify players that experiments might have missed. Insights into this pathway may identify new targets for antibiotic and therapeutic design while providing a foundation for using AF2Complex to computationally expedite this type of biology research as a whole.

Computing complexes

Created by London-based artificial intelligence lab DeepMind, AlphaFold 2 is a deep learning tool able to generate accurate predictions about the three-dimensional structure of single proteins using just their building blocks, amino acids. Taking things a step further, AF2Complex uses these structures to predict the likelihood that proteins are able to interact to form a functional complex, what aspects of each structure are the likely interaction sites, and even what protein complexes are likely to pair up to create even larger functional groups called supercomplexes.

“The successful development of AF2Complex earlier this year makes us believe that this approach has tremendous potential in identifying and characterizing the set of protein-protein interactions important to life,” shared Mu Gao, a senior research scientist at Georgia Tech. “To further convince the broad molecular biology community, we [had to] demonstrate it with a more convincing, high impact application.”

The researchers chose to apply AF2Complex to a pathway in Escherichia coli (E. coli), a model organism in life sciences research commonly used for experimental DNA manipulation and protein production due to its relative simplicity and fast growth. 

To demonstrate the tool’s power, the team examined the synthesis and transport of proteins that are essential for exchanging nutrients and responding to environmental stressors: outer membrane proteins, or OMPs for short. These proteins reside on the outermost membrane of gram-negative bacteria, a large family of bacteria characterized by the presence of inner and outer membranes, like E. coli. However, the proteins are created inside the cell and must be transported to their final destinations. 

“After more than two decades of experimental studies, researchers have identified some of the protein complexes of key players, but certainly not all of them,” Gao explained. AF2Complex “could enable us to discover some novel and interesting features of the OMP biogenesis pathway that were missed in previous experimental studies.”

New insights

Using the Summit supercomputer at the Oak Ridge National Laboratory, the team, which included computer science undergraduate Davi Nakajima An, put AF2Complex to the test. They compared a few proteins known to be important in the synthesis and transport of OMPs to roughly 1,500 other proteins — all of the known proteins in E. coli’s cell envelope — to see which pairs the tool computed as most likely to interact, and which of those pairs were likely to form supercomplexes. 

To determine if AF2Complex’s predictions were correct, the researchers compared the tool’s predictions to known experimental data. “Encouragingly,” said Skolnick, “among the top hits from computational screening, we found previously known interacting partners.” Even within those protein pairs known to interact, AF2Complex was able to highlight structural details of those interactions that explain data from previous experiments, lending additional confidence to the tool’s accuracy.

In addition to known interactions, AF2Complex predicted several unknown pairs. Digging further into these unexpected partners revealed details on what aspects of the pairs might interact to form larger groups of functional proteins, likely active configurations of complexes that have previously eluded experimentalists, and new potential mechanisms for how OMPs are synthesized and transported. 

“Since the outer membrane pathway is both vital and unique to gram-negative bacteria, the key proteins involved in this pathway could be novel targets for new antibiotics,” said Skolnick. “As such, our work that provides molecular insights about these new drug targets might be valuable to new therapeutic design.”

Beyond this pathway, the researchers are hopeful that AF2Complex could mean big things for biology research. 

“Unlike predicting structures of a single protein sequence, predicting the structural model of a supercomplex can be very complicated, especially when the components or stoichiometry of the complex is unknown,” Gao noted. “In this regard, AF2Complex could be a new computational tool for biologists to conduct trial experiments of different combinations of proteins,” potentially expediting and increasing the efficiency of this type of biology research as a whole.

AF2Complex is an open-source tool available to the public and can be downloaded here.

This work was supported in part by the DOE Office of Science, Office of Biological and Environmental Research (DOE DE-SC0021303) and the Division of General Medical Sciences of the National Institute Health (NIH R35GM118039). DOI: https://doi.org/10.7554

4 Questions with the IDEaS Leadership Team | Featuring Xiaoming Huo; A. Russell Chandler III Professor, H. Milton Stewart School of Industrial and Systems Engineering

This week we introduce Xiaoming Huo, A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech and Associate Director for Research in the Institute for Data Science and Engineering.

Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability.

1. What is your field of expertise and what questions, or challenges sparked your current research?

My research is focused on the foundational principles of data sciences  (also known as machine learning, artificial intelligence, etc.). A large spectrum of algorithms has been developed in the data science field, however, there remains a challenge to understand the performance and limitations of these algorithms and then provide helpful, practical guidelines for their usage by researchers. I began my journey to data science as an undergraduate mathematics major. I have been motivated by the emergence of data sciences and the fact that many of these challenging foundational problems are naturally mathematical. What I am doing now seems to be a perfect spot for someone who wants to explore fundamental mathematics while still making an impact in deployable applications.

2. Why is the field of Data Science and Engineering important to the development of Georgia Tech’s broader research strategy?

In the most recent science and engineering research endeavors,  no matter the discipline, large amounts of data are generated and collected. Consequently, more and more research finding across colleges and schools at Georgia Tech, and globally,  are data-driven. The ability to correlate and make meaningful connections within data will be essential for future researchers. Additionally, the innovative breakthroughs in science and engineering of the future are likely to rely heavily on the utilization of tools from data science and the availability of new data types.

3. What are the global and social benefits of the research you and your team conduct?

Currently, my research is primarily mathematical. Our end goal is to provide data handling  principles, guidelines, and best practices that researchers and students can apply.

4. What are your plans on engaging a wider GT faculty pool with IDEaS research?

I am the executive director of the Transdisciplinary Research Institute for Advancing Data Science (TRIAD) (triad.gatech.edu). In 2017, we won an NSF TRIPODS Phase 1 award to establish this Center. TRIAD is housed under the Institute of Data Engineering and Sciences (IDEaS). I am currently serving as the Associate Director for Research (ADR) of IDEaS. As an ADR, I organize campus-wide activities related to data science research at Georgia Tech, aiming to catalyze collaborative activities. My current project is to organize a Georgia Tech workshop on the foundations of data science. We hope to provide a brainstorming event for relevant researchers in early 2023.

Learn More About the Team’s Work Here: https://sites.gatech.edu/xiaoming-huo/

When Alexandria Sweeny, better known as Alex, considered what she wanted to accomplish before graduating from Drew Charter School, the then high school junior set two goals: complete her engineering internship and make a positive impact.

She did both while strengthening her coding knowledge during her time as a camper and mentor at the Seth Bonder Camp in Computational and Data Science for Engineering (SBC).

“I did it when it was fully virtual, and it was definitely an experience,” said Sweeny who spent a week being introduced to computing and data science where she performed virtual activities, last June.

The camp, which is offered either as an online course or on-campus summer camp at Georgia Tech, is designed to build students’ problem-solving and analytical skills while furthering their interest in computer science as a potential career. It is also part of AI4OPT’s mission to inspire young Georgians to pursue STEM (science, technology, engineering and mathematics).

AI4OPT hosted its first in-person summer camp at Georgia Tech in June. The camp brought together 60 students from schools across Georgia including Drew Charter, Banneker High School, and Westlake High School.

Sweeny was asked to return to this particular camp—but this time, as a mentor.

“Of course, I said yes, because it was something fun that I could do over the summer preparing for college without it being too hefty,” said Sweeny. “It was something that I felt prepared for from attending the camp.”

Responses like Sweeny’s motivates SBC Site Managers like Reem Khir to introduce more bright minds to the camp centered around computer programming logic, programming language for AI, and teamwork.

“We expose them [high school students] to certain types of education areas like Twitter analysis, how to solve a sudoku, and even computational biology, if they wanted to consider a career in biology,” said Khir, who joined the camp last year to help students with assignments. This year, she took on even bigger leadership role by maintaining and observing two camps and facilitating 50 students and seven teaching assistants (TAs). She worked under a ‘student to student and student to TA’ interactive structure so that each participant took away a useful skill in data science.

“It’s the time where high school students start forming opinions and decisions about the career path they want to pursue,” said Khir. “The steppingstone is their college education, and we can help students in that period.”

AI4OPT Will Acquire and Advance Seth Bonder Camp

AI4OPT is working to adopt a short-term system used to track students after the camp. The institute wants to build up the system to see majors, colleges, and career paths each student has vowed to pursue before they head off to college or the workforce.

“This is a critical period for students,” said Khir. “It’s a time where students start thinking about a major for college and later impacting the next 20 or 30 years of their life. Being a part of that is very unique in terms of creating a positive influence in the next generation.”

AI4OPT is taking the lead over the SBC to offer the initiative more organizational support as the program has seen tremendous growth and has become a much broader initiative. The Seth Bonder Foundation, which first introduced the camp to those ages 10-18, will continue to fund the camp now more targeted towards high school students interested in engineering, but do not have access to computer science and/or data science in their middle and high schools.

“A lot of the different communities are not exposed to this and may never see this opportunity. The Seth Bonder Camp exposes high school students to AI opportunities and gives them skills to successfully enter the field of STEM with confidence,” said Professor Pascal Van Hentenryck, who’s brought his data sciences skills and knowledge to Georgia Tech and leads both AI4OPT and the SBC.

AI4OPT is in transition to lead the SBC to offer more organizational support as the program sees tremendous growth. The research Institute will expand the longitudinal camps to engage middle and high school students in these topics, while also bringing AI education and research programs to HBCU’s and Hispanic-serving colleges throughout the nation, addressing the widening gap in job opportunities.

Though Sweeny has transitioned away from coding and transcended into research, she never stopped setting goals even now as a first-year biomedical engineering major at Georgia Tech.

“Do anything you can to take it [the SBC] even if you don't want to go into coding,” said Sweeny. “It is a good way to meet new people learn new skills, it is something that you don't necessarily have to have a love for coding to have to do it.”

To learn more about the Seth Bonder Camp in Computational and Data Science for Engineering and to partner with the camp, visit sethbondercamp.isye.gatech.edu.

(Writer’s note: This article is part of a series highlighting AI4OPT members, students, education programs and professional development testimonies.)

By Frida Carrera

On Wednesday, April 13th 2022, the Undergraduate Research Opportunities Program (UROP) hosted the 16th annual Spring Undergraduate Research Symposium. UROP’s annual symposium is Georgia Tech’s largest undergraduate research colloquium and allows students to present their research and gain valuable skills and presentation experience. Each year the symposium also presents awards to the top poster and oral presentation from each college and honors the Outstanding Undergraduate Researcher (OUR) from each college. And with over 40 oral presentations and nearly 90 poster presentations, this year’s symposium proved to be another success for UROP and Georgia Tech.  

This year the symposium was held in Exhibition Hall and opened with an introduction and keynote address to students, faculty, and other non-presenters. Shortly after, the event moved into the poster presentations segment where undergraduate students displayed their research to judges, faculty, and other attendees. The oral presentations followed soon after and gave student researchers the opportunity to go more in-depth with their research and findings and answer any questions the judges and attendees had. To end the event, sponsoring colleges and departments recognized Outstanding Undergraduate Researchers from their respective colleges. Additionally, the symposium judges were tasked with selecting the top student researchers having exceptional poster and oral presentations. 

Any Georgia Tech undergraduate student interested in presenting their research is encouraged to apply for future symposiums and to build on research presentation skills, connect with other undergraduate researchers and faculty, and the chance to be recognized with awards by members of the Georgia Tech research community. UROP also hosts other research-related events and workshops throughout the school year to assist undergraduate students interested in research and build on their passions! 

To view the list of awardees and pictures from the event visit: https://symposium.urop.gatech.edu/awards/ 

To learn more about undergraduate research at Georgia Tech visit: https://urop.gatech.edu/

By Frida Carrera

During the summer of 2021, computer science student Neil Sanghavi and computer science recent grad Ahan Shah, both from Fairfax, VA, reconnected to catch up with one another and discuss the projects they were working on. In doing so they discovered a mutual resolve to create something using innovative technology and solve a problem relating to intellectual property, specifically patents. Both Neil and Ahan had just started to get into crypto trading and realized that NFT technology had more to offer than its collectible aspect. Here the idea of PatentX was created: to use NFT technology to provide utility in an antiquated space that lacked efficiency.

“It is estimated that we have $1 trillion in unused IP in the United States currently. Additionally, it is reported that there is $25.6 billion worth of patent monetization available today. This is why we created PatentX, a blockchain-backed marketplace to facilitate intellectual property transactions. We built this to make sure the little man innovators and entrepreneurs have an outlet to monetize and connect their patents with the world. Not only that, we are creating tools for large businesses, law firms, venture capitals to manage all of their IP on the blockchain that can handle transactions in seconds.”

Neil and Ahan describe their product launch process as a great learning experience and are firm believers that there can never be too much help. They are currently supported by DXPartners and have received help from various mentors and blockchain professionals. They have been able to traverse obstacles and learn about the marketing, finance, and business aspects behind building a startup despite coming from a technical background. 

Their vision for PatentX is to disrupt the traditional way intellectual property is being transacted and to become the World’s Next Web3 Patent Office. PatentX will be releasing an NFT collection of the most historic patent innovations this early March and encourage interested individuals to stay tuned for their launch. 

To learn more about PatentX visit their social media: 

Twitter: @PatentXNFT

Instagram: @PatentX.io

To learn more about student innovation at Georgia Tech visit: https://innovation.cae.gatech.edu/

By Frida Carrera

On April 2, 2022, Team carSEAL will represent Georgia Tech in the 6^th annual ACC InVenture Prize Competition hosted this year by Florida State University. Team members Shovan Bhatia, Joshua Cruz, Nicholas Lima, Derek Prusener, and Giancarlo Riccobono will compete against other teams in the ACC Conference for a chance to win up to $30,000 in prizes. 

carSEAL began with five biomedical engineering students collaborating on a capstone project. After being accepted into the highly sought-after Mayo Clinic Capstone Project, they received mentorship from Dr. Rabih Tawk, a world-renowned neurosurgeon. With his guidance, they learned that surgeons currently lack the tools to close the carotid artery after endovascular procedures. Through a pragmatic approach, the team developed 100+ conceptual designs and iterations. After numerous discussions with attending surgeons across the nation and preliminary testing, they developed carSEAL – a vascular closure device for the carotid artery. 

So far, the team has found the InVenture Prize process to be exhilarating.

“Through each round of this process, we have seen incredible teams working on impactful projects and it is exciting to be surrounded by such brilliant minds from numerous backgrounds. It has been especially rewarding working with so many supportive advisors from Georgia Tech, who have been through the startup process and have freely offered their expertise. Along each step of this process, we have learned something new to refine our pitch and ensure we are presenting our most competitive self at the ACC.”

Currently, aside from preparing for the ACC InVenture Prize, the carSEAL team is performing benchtop lab testing to evaluate its efficacy in animal models. Soon after, the team will be moving to pre-clinical studies on their path to obtaining FDA clearance before carSEAL is commercialized. Winning the ACC InVenture Prize would help them gain more traction and gather sufficient funds to help them with this process.

“I am extremely proud of our team’s achievements in the short 6 months that we have worked together. carSEAL has gained a lot of traction already and we are excited to see how far we can take this, hopefully bringing carSEAL to clinical practice within a few years,” Bhatia stated.

The Georgia Tech community can support carSEAL in the competition by voting for them for the People’s Choice Awards by visiting: https://accinventureprize.com/peoples-choice-voting. Online voting begins March 28.

To learn more about the ACC InVenture Prize visit https://accinventureprize.com.

By Frida Carrera

After almost a year of preparation, practice, and refinement, Georgia Tech’s annual InVenture Prize is down to six finalists competing in the final round on March 16^th. In this televised round, the final teams will pitch their inventions to a panel of judges and compete for the top prize of $20,000, assistance in patent-filing, and a spot in CREATE-X’s Startup Launch program.

In its 14^th year, the InVenture Prize competition features different innovations created by Georgia Tech students from all disciplines and backgrounds. For months prior to the final round, the finalists received coaching and assistance from mentors and coaches on building their prototypes, developing business models, and rehearsing their pitches to investors. The final six teams were chosen from previous preliminary and semifinal rounds that included a broad range of competitors. 

The finals of the InVenture Prize will air live from Georgia Tech’s Ferst Center for the Arts at 7:30 p.m. on March 16^th on Georgia Public Broadcasting. 

The 2022 finalist teams are:

The Foambuster: The Foambuster is a unique handheld tool that allows construction contractors to drastically cut down on the mess, hassle, and money spent that comes with installing exterior insulation.

Edward Diller, Mechanical Engineering, Los Angeles, CA

Davis Waln, Mechanical Engineering, Atlanta, GA

Christophe Senghor, Mechanical Engineering, Peachtree City, GA

Katelyn Sand, Mechanical Engineering, Westlake Village, CA

Jaime Paris Meseguer, Mechanical Engineering, Spain

Magic Crop: An application that uses the power of Artificial Intelligence and the rule of thirds to format any number of inputted pictures into the perfect headshot within seconds and without ever sending any images to the cloud or to a third-party server.

Megan Dass, Computer Science, Woodbridge, VA

Reflex: Emergency Medical Drone Response System to deliver life-saving medical equipment.

Nevin Gilbert, Computer Science, Boulder, CO

Usman Jamal, Computer Science, Tucker, GA

Sola: Sola provides a data-driven supplemental insurance plan which covers immediate out-of-pocket expenses for US homeowners following losses from tornadoes.

Brayden Drury, Mechanical Engineering, Park City, Utah

Wesley Pergament, Mechanical Engineering, Old Westbury, NY

StrideLink: Accessible gait analysis wearable for remote monitoring of walking asymmetry.

Marzeah (Zea) Khorramabadi, Computer Engineering, Birmingham, AL

Cassandra (Cassie) McIltrot, Biomedical Engineering, Sykesville, MD

Neel Narvekar, Computer Engineering, Arcadia, CA

Tony Wineman, Electrical Engineering, Woodstock, GA

Tabnam: AI-powered shopping assistant that leverages the knowledge of user experience data.

SooHoon Choi, Computer Science, South Korea

Daksh Gupta, Computer Science, Noida, India

Robert (Davis) Liddell, Computer Science, Lutherville, MD

Ethan Perry, Computer Science, Wellesley, MA

To request tickets for the event visit: https://inventureprize.gatech.edu/form/inventure-prize-ticket-request-f

To learn more about InVenture Prize visit: https://inventureprize.gatech.edu/

By Frida Carrera

On December 3, 2021, Startup Exchange presented the Fall 2021 Fellowship Pitch Competition sponsored by the Georgia Tech Student Innovation Program, Office of Undergraduate Education. The event took place at ATL Social Club in Tech Square, a major startup hub situated on Georgia Tech’s campus and perfect for those eager for innovation at GT. The event also welcomed partner companies and recruiters such as NCR and Stord. 

At this pitch-style event, six founder teams presented their innovative pitches and competed for first, second, and third place, each with a cash prize to aid in the advancement of their ideas. The first and second place winners of the competition were determined by three guest judges: Kathryn Petralia, co-founder of Kabbage and Drum; Thomas Suarez, co-founder of Teleport and Thiel Fellow; and Evan Jarecki, serial entrepreneur and BM at Startup Atlanta. The event commenced with a brief introduction by Startup Exchange executive board members, followed by presentations from the 6 teams including Fino, InSite, Jargon, and Tokenstack. After hearing each team’s pitch, the judges had time to deliberate and select the top two winners while the audience voted for the People’s Choice winner. Meanwhile, attendees were also able to hear from the partner companies and network while enjoying free perks such as food and beverages. 

“There are students everywhere across campus really starting on their start-ups and pursuing their dreams. Atlanta is a growing city and Georgia Tech is the perfect hub for that. These teams, we’re introducing them to entrepreneurship and giving those resources and intro-connections. By doing so, we’re inspiring them in a way. It’s just a great learning experience for them,” explained Startup Exchange’s Director of Fellowship Revanth Tiruveedhi.

Following the intermission, the judges presented the first-place award of $750 to Jargon, a browser extension that points out red flags in user contract agreements, as pitched by team members Kaleb Rasmussen and Devansh Khunteta. Second place of $500 was awarded to Eartheal by team members Colin Burnett, Philip Colt, Neal Austensen, and Brandon Sherrard. People's Choice of $250 was awarded to Tokenstack by team members Nitin Paul, Samrat Sahoo, Yatharth Bhargava, and Mohit Sahoo. The event then closed with remarks by Startup Exchange’s board members and photos with the participants.

To learn more about student innovation at Georgia Tech visit https://innovation.gatech.edu/