Jan. 15, 2026
Jennifer Kim

People with autism seeking employment may soon have access to a new AI-based job-coaching tool thanks to a six-figure grant from the National Science Foundation (NSF).

Jennifer Kim and Mark Riedl recently received a $500,000 NSF grant to develop large language models (LLMs) that provide strength-based job coaching for autistic job seekers. 

The two Georgia Tech researchers work with Heather Dicks, a career development advisor in Georgia Tech’s EXCEL program, and other nonprofit organizations to provide job-seeking resources to autistic people.

Dicks said the average job search for people with autism can take three to six months in a good economy. It can take up to 18 months in a bad one. However, the new LLMs from Georgia Tech could help to reduce stress and fast-track these job seekers into employment.

Kim is an assistant professor who specializes in human-computer interaction technology that benefits neurodivergent people. Riedl is a professor and an expert in the development of artificial intelligence (AI) and machine learning technologies.

The team’s goal is to identify job-search pain points and understand how job coaches create better employment prospects for their autistic clients.

“Large-language models have an opportunity to support this kind of work if we can have more data about each different individual strength,” Kim said.

“We want to know what worked for them in specific settings at work, what didn’t work, and what kind of accommodations can better help them. That includes how they should prepare for interviews, how they can better represent their skills, how they can address accommodations they need, and how to write a cover letter. It’s a broad range.”

Dicks has advocated for neurodivergent people and helped them find employment for 20 years. She worked at the Center for the Visually Impaired in Atlanta before coming to Georgia Tech in 2017.

She said most nonprofits that support neurodivergent people offer career development programs and many contract job coaches, but limited coach availability often leads to long waitlists. However, LLMs could fill this availability gap to address the immediate needs of job seekers who may not have access to a job coach.

“These organizations often run at a slow pace, and there’s high turnover,” Dicks said. “An AI tool could get the job seeker quicker support. Maybe they don’t even need to wait on the government system.

“If they’re on a waitlist, it can help the user put together a resume and practice general interview questions. When the job coach is ready to work with them, they’re able to hit the ground running.”

Nailing the Interview

Dicks said the job interview is one of the biggest challenges for people with autism.

“They have trouble picking up on visual and nonverbal cues — the tone of the interview, figuring out the nuances that a question is hinting at,” she said. “They’re not giving the warm and fuzzy vibes that allow them to connect on a personal level.”

That’s why Kim wants the models to reflect a strength-based coaching approach. Strength-based coaching is particularly effective for individuals with autism. Many possess traits that employers value. These include:

  • Close attention to detail
  • Strong technical proficiency
  • Unique problem-solving perspectives

“The issue is that they don’t know how these strengths can be applied in the workplace,” Kim said. “Once they understand this, they can communicate with employers about their strengths and the accommodations employers should provide to the job seeker so they can successfully apply their skills at work.”

Handling Rejection

Still, Kim understands that candidates will need to handle rejection to make it through the search process. She envisions LLMs that help them refocus their energy and regain their confidence after being turned down.

“When you get a lot of rejection emails, it’s easy to feel you’re not good enough,” she said. “Being constantly reminded about your strengths and their prior successes can get them through the stressful job-seeking process.”

Dicks said the models should also be able to provide feedback so that candidates don’t repeat mistakes.

“It can tell them what would’ve been a better answer or a better way to say it,” Dicks said. “It can also encourage them with reminders that you get 100 noes before you get a yes.”

You’re Hired, Now What?

Dicks said the role of a job coach doesn’t end the moment a client is hired. Government-contracted job coaches may work with their clients for up to 90 days after they start a new job to support their transition.

However, she said, sometimes that isn’t enough. Many companies have probationary periods exceeding three months. Autistic individuals may struggle with on-the-job training or communicating what accommodations they need from their new employer. 

These are just a few gaps an AI tool can fill for these individuals after they’re hired.

“I could see these models evolving to being supportive at those critical junctures of the probationary period being over or the one-year job review or the annual evaluation that everyone dreads,” she said.

Dicks has an average caseload of 15 students, whom she assists in landing jobs and internships through the EXCEL program.

EXCEL provides a mentorship program for students with intellectual and developmental disabilities from the time they set foot on campus through graduation and beyond.

For more information and to apply, visit EXCEL’s website.

Jan. 15, 2026
Hailong Chen

Hailong Chen is working to reduce energy use and costs in critical sectors such as mining and recycling through advanced electrochemical science.

Chen leads the Georgia Tech Electrochemical Manufacturing and Recycling research initiative for the Institute for Matter and Systems. His research focuses on understanding the fundamental science behind electrochemical manufacturing and recycling processes and applying that knowledge to industrial practices. Chen is an associate professor in the George W. Woodruff School of Mechanical Engineering.

In this Q&A, Chen discusses his research focus, its connection to the Institute for Matter and Systems’ core priorities, and the national impact of this initiative.

What is your field of expertise and at what point in your life did you first become interested in this area? 

My expertise is materials design and advanced materials characterization using synchrotron and neutron techniques. I have always been interested in understanding electrochemical reactions. Previously, I focused on electrochemical reactions in batteries. More recently, I’ve become interested in a broader range of electrochemical reactions, such as electrowinning and electrochemical separation and extraction of critical elements and materials.

What questions or challenges sparked your current research? 

Many electrochemical reactions widely used in industrial manufacturing are not well understood. Current recipes and protocols are mostly inherited from historical trial-and-error iterations, lacking rational design and impeding further development and improvement. Our experience with batteries and unique research capabilities can help improve the efficiency of electrochemical manufacturing and lower economic and energy costs.

Matter and systems refer to the transformational technological and societal systems that arise from the convergence of innovative materials, devices, and processes. Why is your initiative important to the development of the IMS research strategy? 

Georgia Tech has a strong community of faculty working in electrochemistry across diverse research areas such as energy storage and conversion, synthesis, and water purification. However, we currently lack a unifying theme in electrochemical manufacturing and recycling—the focus this initiative seeks to establish and advance.

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

Many manufacturing industries, including mining, separation, and recycling, are highly energy intensive. Our research aims to drive transformative changes in these sectors by significantly reducing energy consumption, economic costs, and carbon footprints, with both immediate and lasting impacts on the U.S. and global society.

What are your plans for engaging a wider Georgia Tech faculty pool with the Institute for Matter and Systems research?

We plan to engage as many faculty members as possible whose research interests and expertise align with this theme. Our goal is to foster a supportive, collaborative, and inspiring environment where they can brainstorm, spark new ideas, and build capabilities. This community will also help them organize and position themselves to compete effectively for future funding opportunities in the field.

News Contact

Amelia Neumeister | Communications Program Manager

The Institute for Matter and Systems

Jan. 15, 2026
Illustration of an AI tutor helping a student

Illustration of an AI tutor assisting a student.

It’s 1:47 a.m. in a Georgia Tech dorm room. A bleary-eyed student is staring down a homework problem that refuses to make sense. The professor is asleep. Classmates aren’t texting back. Even the caffeine has lost its jolt.

It’s the kind of late-night dead end that pushed the instructors of one particularly tough class to build their own backup: a custom artificial intelligence (AI) tutor created specifically for that course.

They call it the SMART Tutor, short for Scaffolded, Modular, Accessible, Relevant, and Targeted. It guides students through each problem step by step, checks their reasoning, references class notes, and flags mistakes. Instead of handing over solutions, it shows students how to work through them.

That distinction matters most to Ying Zhang, senior associate chair in the School of Electrical and Computer Engineering, who created the tool.

“Unlike ChatGPT, the tutor doesn’t just give answers,” Zhang said. “We want to teach students how to approach the problem, think critically, and become self-regulated learners.”

Born From One Infamously Tough Class

The idea for the SMART Tutor came from a course that had challenged students for years: Circuit Analysis (ECE 2040). It’s a foundational class for electrical engineering undergraduates and historically one of the most difficult in the curriculum.

Zhang saw the same pattern semester after semester. Students often needed help at the exact moment it wasn’t available.

“Many students study late into the evening,” she said. “They cannot really attend office hours during the day because of either class or work schedules. So, basically, when students work at night on their homework and get stuck, they have no one to go for help.”

Students were working late into the night; support wasn’t. Zhang and her colleagues set out to change that.

Office Hours, Upgraded

Their solution: The SMART Tutor which relies solely on course materials, NOT the open internet. When students upload their completed work, the tutor checks the calculations, the reasoning, and whether the solution holds up in practice, not just on paper. It also provides constructive feedback and shares insights with instructors, helping them identify common misconceptions and adjust in-class instruction.

Students select a homework problem and watch the system break it down step by step. It also answers broader conceptual questions using lectures and notes.

“The students, the SMART Tutor, and the instructor work as a team to help students learn,” Zhang said.

Student-Tested, Professor-Approved

During a semester-long pilot with 50 students, Zhang did not require anyone to use the tutor. But nearly everyone did.

“Most students felt the AI tutor helped them learn more effectively and at their own pace,” she said. “They valued the immediate feedback and the chance to learn from mistakes in real time.”

Nidhi Krishna, a computer engineering major, used the tutor as a sounding board when she got stuck.

“What helped most was being able to show my work and ask, ‘Where did I go wrong?’” Krishna said.

She approached it like she would a teaching assistant, working through problems independently and asking for guidance rather than solutions. Students also valued something else: help that showed up at the right moment.

Teaching Students to Think

What stood out to Zhang wasn’t improved grades. It was what the tutor revealed about how students learn.

By analyzing interaction data, she saw two patterns: students who asked questions to understand, and those who used the system to confirm answers. The difference revealed a deeper gap in learning strategies.

“Some students, especially those who need help most, lack strong learning skills,” Zhang said. “Students with lower academic preparation were more likely to ask guess-and-check questions instead of seeking deeper explanations.”

That insight is already shaping the next version of the tutor.

The SMART Tutor is now part of a broader vision called NEAT: Next-Generation Engineering Education with AI Tutoring. Zhang plans to expand the NEAT framework across Georgia Tech’s College of Engineering and eventually to partner institutions.

One factor fueling that growth is affordability. The system costs about $300 per semester for a class of 50 students, a price Zhang believes most programs can absorb. The academic return, she said, far outweighs the cost.

Always Awake, Always Ready

There will always be a 1:47 a.m. somewhere on campus.

When everything stops making sense, students won’t have to give up or wait for the next day’s office hours. The SMART Tutor won’t solve the problem for them, but it will remind them they can solve it themselves.

After midnight, that may be far more useful than another cup of coffee.

News Contact

Michelle Azriel, Sr. Writer Editor

Jan. 13, 2026
Fuel Truck carrying Sustainable Aviation Fuel near an airplane

Georgia Tech’s Energy Policy and Innovation Center (EPIcenter) has collaborated with Dan Matisoff, professor in the Jimmy and Rosalynn Carter School of Public Policy and EPIcenter’s faculty affiliate, to develop a new Sustainable Aviation Fuel (SAF) Data Dashboard, designed to provide clear, accessible insights into the rapidly evolving SAF market. 

The interactive dashboard compiles and visualizes data gathered by Matisoff, along with Program and Operations Manager Michael Morley, offering a comprehensive view of SAF production, feedstock availability, and policy trends.

EPIcenter Research Associate Yang You has designed the dashboard to translate complex datasets into policy-relevant insights for decision-makers. By organizing key metrics into interactive visuals, the dashboard helps stakeholders assess market readiness and identify regulatory actions that could accelerate SAF adoption.

Emphasizing the importance of data-driven insights, Matisoff said, “The Department of Energy has a Grand Challenge to produce 3 billion gallons a year of Sustainable Aviation Fuel by 2030, and 35 billion gallons a year by 2050. By compiling and visualizing SAF data, we can help policymakers and researchers understand progress towards these goals, where the key opportunities and bottlenecks are – and how to move forward effectively”. 

Why SAF Matters
While aviation only accounts for about 3% of global greenhouse gas emissions, it is a rapidly growing share, and decarbonizing this sector is considered one of the most challenging aspects of the energy transition. Produced from renewable feedstocks, sustainable aviation fuel offers a pathway to reduce lifecycle emissions from air travel without requiring major changes to aircraft or infrastructure. However, SAF production and deployment face hurdles related to cost, supply chain development, and policy support.

EPIcenter’s Director Laura Taylor highlighted the dashboard’s role in addressing these challenges:
“Sustainable aviation fuel is a cornerstone of decarbonizing air travel, but the market is complex and rapidly evolving. The dashboard provides clarity by organizing the relevant data in a way that’s accessible and actionable for decision-makers.”

“This tool is meant to bridge analysis and action,” said You. “By visualizing SAF production, capacity, and offtake dynamics, the dashboard allows policymakers and stakeholders to see where the market is moving, where gaps remain, and how targeted infrastructure investments or supportive policies could unlock scale.”

The EPIcenter SAF Dashboard is intended as a resource for industry leaders, policymakers, and researchers working to accelerate SAF adoption. By providing transparent, data-driven insights, Georgia Tech aims to support informed decisions that advance innovation and sustainability in aviation.

To explore the dashboard and learn more about Georgia Tech’s work on sustainable aviation fuel, visit EPIcenter’s SAF page

News Contact

Priya Devarajan || SEI Communications Program Manager

Jan. 08, 2026
Three individuals standing at a workbench in front of a large Mazak hybrid manufacturing machine, discussing components and technical drawings.

GTMI researchers work beside a Mazak machine inside Georgia Tech’s Advanced Manufacturing Pilot Facility, continuing a partnership with Mazak that has advanced hybrid manufacturing innovation for more than a decade.

Georgia Tech’s hybrid manufacturing breakthroughs are reshaping how industries — from the U.S. Navy to aerospace and rail — repair and build critical parts. Fast, precise, and scalable, GTMI’s innovations turn complex problems into real world solutions, showcasing how cutting edge research becomes game changing impact.

Read more »

Jan. 08, 2026
Lack of access to safe and affordable housing is harmful to health. Robert Gauthier/Los Angeles Times via Getty Images

Lack of access to safe and affordable housing is harmful to health. Robert Gauthier/Los Angeles Times via Getty Images

Health and medicine is more than just biological – societal forces can get under your skin and cause illness. Medical sociologists like me study these forces by treating society itself as our laboratory. Health and illness are our experiments in uncovering meaning, power and inequality, and how it affects all parts of a person’s life.

For example, why do low-income communities continue to have higher death rates, despite improved social and environmental conditions across society? Foundational research in medical sociology reveals that access to resources like money, knowledge, power and social networks strongly affects a person’s health. Medical sociologists have shown that social class is linked to numerous diseases and mortality, including risk factors that influence health and longevity. These include smoking, overweight and obesity, stress, social isolation, access to health care and living in disadvantaged neighborhoods.

Moreover, social class alone cannot explain such health inequalities. My own research examines how inequalities related to social class, race and gender affect access to autism services, particularly among single Black mothers who rely on public insurance. This work helps explain delays in autism diagnosis among Black children, who often wait three years after initial parent concerns before they are formally diagnosed. White children with private insurance typically wait from 9 to 22 months depending on age of diagnosis. This is just one of numerous examples of inequalities that are entrenched in and deepened by medical and educational systems.

Medical sociologists like me investigate how all of these factors interact to affect a person’s health. This social model of illness sees sickness as shaped by social, cultural, political and economic factors. We examine both individual experiences and societal influences to help address the health issues affecting vulnerable populations through large-scale reforms.

By studying the way social forces shape health inequalities, medical sociology helps address how health and illness extend beyond the body and into every aspect of people’s lives.

Protesters standing in front of a federal building, holding signs in the shape of graves reading '16 MILLION LIVES' and 'R.I.P. DEATH BY A THOUSAND CUTS,' wearing shirts that read 'MEDICAID SAVES LIVES'

Access to health insurance is a political issue that directly affects patients. Here, care workers gathered in June 2025 to protest Medicaid cuts. Tasos Katopodis/Getty Images for SEIU

Origins of Medical Sociology in the US

Medical sociology formally began in the U.S after World War II, when the National Institutes of Health started investing in joint medical and sociological research projects. Hospitals began hiring sociologists to address questions like how to improve patient compliance, doctor-patient interactions and medical treatments.

However, the focus of this early work was on issues specific to medicine, such as quality improvement or barriers to medication adherence. The goal was to study problems that could be directly applied in medical settings rather than challenging medical authority or existing inequalities. During that period, sociologists viewed illness mostly as a deviation from normal functioning leading to impairments that require treatment.

For example, the concept of the sick role – developed by medical sociologist Talcott Parsons in the 1950s – saw illness as a form of deviance from social roles and expectations. Under this idea, patients were solely responsible for seeking out medical care in order to return to normal functioning in society.

In the 1960s, sociologists began critiquing medical diagnoses and institutions. Researchers criticized the idea of the sick role because it assumed illnesses were temporary and did not account for chronic conditions or disability, which can last for long periods of time and do not necessarily allow people to deviate from their life obligations. The sick role assumed that all people have access to medical care, and it did not take into account how social characteristics like race, class, gender and age can influence a person’s experience of illness.

Patient wearing surgical mask sitting in chair of exam room, talking to a doctor

Early models of illness in medical sociology discounted the experience of the patient. Paul Bersebach/MediaNews Group/Orange County Register via Getty Images

Parsons’ sick role concept also emphasized the expertise of the physician rather than the patient’s experience of illness. For example, sociologist Erving Goffman showed that the way care is structured in asylums shaped how patients are treated. He also examined how the experience of stigma is an interactive process that develops in response to social norms. This work influenced how researchers understood chronic illness and disability and laid the groundwork for later debates on what counts as pathological or normal.

In the 1970s, some researchers began to question the model of medicine as an institution of social control. They critiqued how medicine’s jurisdiction expanded over many societal problems – such as old age and death – which were defined and treated as medical problems. Researchers were critical of the tendency to medicalize and apply labels like “healthy” and “ill” to increasing parts of human existence. This shift emphasized how a medical diagnosis can carry political weight and how medical authority can affect social inclusion or exclusion.

The critical perspective aligns with critiques from disability studies. Unlike medical sociology, which emerged through the medical model of disease, disability studies emerged from disability rights activism and scholarship. Rather than viewing disability as pathological, this field sees disability as a variation of the human condition rooted in social barriers and exclusionary environments. Instead of seeking cures, researchers focus on increasing accessibility, human rights and autonomy for disabled people.

A contemporary figure in this field was Alice Wong, a disability rights activist and medical sociologist who died in November 2025. Her work amplified disabled voices and helped shaped how the public understood disability justice and access to technology.

Structural Forces Shape Health and Illness

By focusing on social and structural influences on health, medical sociology has contributed significantly to programs addressing issues like segregation, discrimination, poverty, unemployment and underfunded schools.

For example, sociological research on racial health disparities invite neighborhood interventions that can help improve overall quality of life by increasing the availability of affordable nutritious foods in underserved neighborhoods or initiatives that prioritize equal access to education. At the societal level, large-scale social policies such as guaranteed minimum incomes or universal health care can dramatically reduce health inequalities.

People carrying boxes of food under a tent

Access to nutritious food is critical to health. K.C. Alfred / The San Diego Union-Tribune via Getty Images

Medical sociology has also expanded the understanding of how health care policies affect health, helping ensure that policy changes take into account the broader social context. For example, a key area of medical sociological research is the rising cost of and limited access to health care. This body of work focuses on the complex social and organizational factors of delivering health services. It highlights the need for more state and federal regulatory control as well as investment in groups and communities that need care the most.

Modern medical sociology ultimately considers all societal issues to be health issues. Improving people’s health and well-being requires improving education, employment, housing, transportation and other social, economic and political policies.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Author:

Jennifer Singh, Associate Professor of Sociology, Georgia Institute of Technology

Media Contact:

Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Jan. 07, 2026
Bainbridge High School students in the AMP program gathered in October 2025 to race their cars and put their manufacturing skills to the test.

Bainbridge High School students in the AMP program gathered in October 2025 to race their cars and put their manufacturing skills to the test.

Students in rural Georgia are discovering new possibilities through Georgia Tech’s new Advanced Manufacturing Pathways program, where they design, build, and race custom cars while learning real manufacturing skills. With local educators and industry partners behind it, AMP is reshaping how communities imagine their future workforce. 

Read more »

Jan. 05, 2026
Students smiling

Greptile, founded by three current and former Georgia Tech students, has quickly emerged as one of Silicon Valley’s most promising young technology companies. The startup, led by Daksh Gupta, CS 2023; Soohoon Choi, CS 2023, MTH 2023; and computer science major Vaishant Kameswaran, builds artificial intelligence tools that help engineering teams review, analyze, and improve their code. 

Since its launch in 2023, the company has gained traction with more than 2,000 customers, including Brex, Whoop, and Substack. In 2024, Greptile raised $25 million in Series A funding from Benchmark, bringing its total capital raised to $30 million and valuing the company at $180 million. That same year, Greptile was also accepted into the winter 2024 cohort of Y Combinator, the startup accelerator that helped launch Airbnb, Dropbox, and Stripe.   

For Gupta, the road to building Greptile began at Georgia Tech. The founders entered Georgia Tech’s CREATE-X Startup Launch program with an entirely different idea: an AI shopping assistant called Tabnam. But through the program’s customer-discovery process — an intensive cycle of testing, feedback, and rapid iteration — the team realized their technology had stronger potential when applied to software development. That pivot became the foundation for Greptile. 

“CREATE-X did two things without which Greptile would not exist,” Gupta said. “It introduced me to my co-founder, Soohoon, and it gave us the confidence to consider starting a company as a real career path.”  

The founders credit the program with shaping their entrepreneurial thinking, but they describe Y Combinator as the force that helped propel their company to the next stage. Gupta says Y Combinator’s value mirrors some of what they found at Georgia Tech. “Like Georgia Tech, a lot of Y Combinator’s value comes from three things: being surrounded by ambitious people, gaining credibility, and having smart, accomplished people believe in you before you fully believe in yourself,” he said. “That combination does wonders for your self-esteem, which in turn has enormous compounding effects.”  

The company’s recent fundraising experience reflects this momentum. Gupta describes their investor pitches as “fast and painless,” noting that they entered the process with compelling metrics and a refined story. Today, the team is supported by an impressive roster of founders-turned-investors — including partners from Initialized Capital and Benchmark — who have helped the company hire talent and make key strategic decisions.  

Looking back, Gupta says the lessons from CREATE-X continue to guide their approach to building technology and scaling a company. “Y Combinator helped us scale, but Georgia Tech is where it started,” he said.  

Applications for the next CREATE-X Startup Launch cohort are now open, with limited spots available. Early applicants receive priority consideration and feedback. 

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Written by Amanda Dudley

Internal Contact:

Breanna Durham
Marketing Strategist

Jan. 05, 2026
Catchr

Catchr

A mobile fishing app created by Georgia Tech graduate Matthew Steele, CS 2025, has become an international success story, reaching the top of App Store charts in multiple countries before being acquired earlier this year. 

The app, Catchr, uses image recognition and gamified features to help anglers identify fish, estimate size, track catches, and compete on global leaderboards. The app climbed as high as No. 13 on the U.S. App Store sports charts and reached No. 1 in France and Croatia, with nearly 200,000 downloads in more than 170 countries. 

“The idea was to make fishing feel like a real-life version of Pokémon, something fun, soxacial, and competitive,” said Steele. “We launched with just a few basic features, and it grew far faster than I expected.” 

Before developing Catchr, Steele had already experimented with several products, including HairMatch, an AI-powered app that won $25,000 as a global finalist in Microsoft’s Imagine Cup competition, and UPic, Purrpulse, and Better Call Santa (now known as SantaCalls). Those experiences gave him insight into customer behavior, app deployment, and business operations — lessons he brought with him into Georgia Tech’s CREATE-X Startup Launch program. 

CREATE-X provided him with seed funding, mentorship, and a framework for validating ideas through real-world feedback. For Steele, those resources made it possible to move from experimentation to a scalable product.  

“CREATE-X was a time of innovation and exploration,” he said. “It gave me the structure and confidence to test assumptions, get real feedback, and pivot quickly — all critical steps in developing Catchr.”  

Those earlier products helped Steele learn how to test assumptions about customers, navigate App Store requirements, manage support requests, and handle the operational demands of running a small software business. 

“By the time I started Catchr, I knew what level of product quality was needed, how many hours support would take, and what the revenue expectations might be,” he said. “Even so, the speed at which Catchr captured users and grew in revenue was unbelievably fast compared to my expectations.” 

After Catchr’s explosive growth, Steele faced another challenge: deciding whether to sell the company. While many startup founders view acquisition as a goal, Steele said selling Catchr was one of the hardest decisions he has made. “Monetizing something you built is appealing, but selling is different,” he said. “Your creation becomes someone else’s job. You spend so much time with it that it becomes an extension of yourself.” 

Steele said he spoke with multiple interested buyers, asking each about their long-term plans for the app before moving forward. “I wanted to make sure the buyer’s vision would improve the product and be positive for users,” he said. “I wouldn’t have sold if I didn’t trust them.” 

He ultimately found a buyer who committed to expanding Catchr’s capabilities and investing in its continued growth. “I don’t think I’d change anything about the decision,” Steele said. “Catchr is in capable hands, and I can return to what I enjoy most, which is building things I believe will be part of a better future for consumers.” 

With the sale complete, Steele says he is returning to new ideas and the early-stage development process he prefers. 

“If there’s one thing I’d tell other Georgia Tech students,” he said, “it’s that you’re already in one of the best places in the world to build something meaningful. Don’t wait until you feel ready. Just start.” 

Apply to Startup Launch by March 17. Limited spots available.  

News Contact

Written by Amanda Dudley

Internal Contact:

Breanna Durham
Marketing Strategist

Jan. 05, 2026
Two Georgia Tech researchers looking at a biomedical chip.

University research drives U.S. innovation, and Georgia Institute of Technology is leading the way.  

The latest Higher Education Research and Development (HERD) Survey from the National Science Foundation (NSF) places Georgia Tech as No. 2 nationally for federally sponsored research expenditures in 2024. This is Georgia Tech’s highest-ever ranking from the NSF HERD survey and a 70% increase over the Institute's 2019 numbers.  

In total expenditures from all externally funded dollars (including the federal government, foundations, industry, etc.), Georgia Tech is ranked at No. 6.  

Tech remains ranked No. 1 among universities without a medical school — a major accomplishment, as medical schools account for a quarter of all research expenditures nationally. 

“Georgia Tech’s rise to No. 2 in federally sponsored research expenditures reflects the extraordinary talent and commitment of our faculty, staff, students, and partners. This achievement demonstrates the confidence federal agencies have in our ability to deliver transformative research that addresses the nation’s most critical challenges,” said Tim Lieuwen, executive vice president for Research.   

Overall, the state of Georgia maintained its No. 8 position in university research and development, and for the first time, the state topped the $4 billion mark in research expenditures. Georgia Tech provides $1.5 billion, the largest state university contribution. In the last five years, federal funding for higher education research in the state of Georgia has grown an astounding 46% — 10 points higher than the U.S. rate. 

Lieuwen said, “Georgia Tech is proud to lead the state in research contributions, helping Georgia surpass the $4 billion mark for the first time. Our work doesn’t just advance knowledge — it saves lives, creates jobs, and strengthens national security. This growth reflects our commitment to drive innovation that benefits Georgia, our country, and the world.” 

About the NSF HERD Survey 

The NSF HERD Survey is an annual census of U.S. colleges and universities that expended at least $150,000 in separately accounted for research and development (R&D) in the fiscal year. The survey collects information on R&D expenditures by field of research and source of funds and also gathers information on types of research, expenses, and headcounts of R&D personnel. 

About Georgia Tech's Research Enterprise 

The research enterprise at Georgia Tech is led by the Executive Vice President for Research, Tim Lieuwen, and directs a portfolio of research, development, and sponsored activities. This includes leadership of the Georgia Tech Research Institute (GTRI), the Enterprise Innovation Institute, 11 interdisciplinary research institutes (IRIs), Office of Commercialization, Office of Corporate Engagement, plus research centers, and related research administrative support units. Georgia Tech routinely ranks among the top U.S. universities in volume of research conducted.

News Contact

Angela Ayers
Assistant Vice President of Research Communications
Georgia Tech

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