Wang is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI). The award recognizes Wang for his lifelong work on democratizing human-centered AI.

“Throughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,” said Wang, now a safety researcher at OpenAI.

“My work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.”

[Related: Georgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025]

Wang’s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.

Wang’s most influential projects formed the core of his dissertation. These included:

• CNN Explainer: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.
• DiffusionDB: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.
• GAM Changer: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.
• GAM Coach: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval.
• Farsight: a tool that alerts developers when they write prompts in large language models that could be harmful and misused.  

“I feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,” said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor Polo Chau.

“This recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.”

Like Wang, Chau advised Georgia Tech alumnus Fred Hohman (Ph.D. CSE 2020). Hohman won the ACM SIGCHI Outstanding Dissertation Award in 2022.

Chau’s group synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models. 

Chau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.

Wang is one of five recipients of this year’s award to be presented at the 2025 Conference on Human Factors in Computing Systems (CHI 2025). The conference occurs April 25-May 1 in Yokohama, Japan. 

SIGCHI is the world’s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.

Wang’s outstanding dissertation award is the latest recognition of a career decorated with achievement.

Months after graduating from Georgia Tech, Forbes named Wang to its 30 Under 30 in Science for 2025 for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.

While a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the Apple Scholars in AI/ML Ph.D. Fellowship in 2023 and was in the 2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program.

Along with the CHI award, Wang’s dissertation earned him awards this year at banquets across campus. The Georgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award. He also received the College of Computing’s Outstanding Dissertation Award.

“Georgia Tech attracts many great minds, and I’m glad that some, like Jay, chose to join our group,” Chau said. “It has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.”

The U.S. House Committee on Transportation and Infrastructure held a roundtable on artificial intelligence (AI) in infrastructure and transportation on April 16, 2024 where Partnership Executive Director Debra Lam was invited to speak and share how the organization is leveraging AI as a tool to bring innovative solutions in the transit space.

Lam also sat down with U.S. Rep. Rick Larsen, the committee's ranking member, for Q&A session on how AI can help drive innovation in transportation forward.

Below are Lam's prepared remarks for the hearing:

Good morning, Chairman Graves, Ranking Member Larsen and distinguished members of the House Transportation Committee. It's an honor to be here today to discuss the transformative potential of AI in Transportation.

My name is Debra Lam and I lead the Partnership for Inclusive Innovation based out of the Georgia Institute of Technology. Our mission is to catalyze and invest in innovative solutions that drive shared economic prosperity through public-private collaborations. Since 2020, the Partnership's work has deployed millions in financial and social capital and catalyzed hundreds of projects with local governments, corporates, universities, startups, and nonprofits. The projects have created new businesses, increased jobs, and deployed hundreds of technologies and innovations.

In the realm of AI and transportation, we are guided by three core principles:

• Community-centered problem solving: We believe in starting with the challenges faced by communities themselves, who best understand their needs. However, complex issues like transportation and infrastructure require a collective approach. This is why we form robust public-private partnerships, combining the expertise of multidisciplinary research teams to find the most effective tech-based solutions tailored to community goals. Whether it is AI or other future, unknown technology, it should be seen as one of many tools that is centered on solving community problems.
• Innovation for all: We stand by the idea that every community, regardless of its size or location, can be a hub of innovation. Our objective is to democratize access to technology and foster an understanding of innovations like AI. This empowers communities to not just utilize technology but to refine and advance it.
• A holistic view of transportation: Transportation is the lifeline connecting housing and employment. We are dedicated to ensuring that accessible and affordable transportation, especially with the integration of AI and other advanced technologies, is not a hurdle but a support system for securing employment and accessing homes.

Now, let me illustrate how these principles come alive in one of our projects:

Through a U.S. Dept. of Transportation SMART grant, the Chatham Area Transit Authority, with Georgia Tech researchers, is improving transit services in historically underserved neighborhoods. Piloting an On-Demand Multi-model Transit System (ODMTS) powered by AI, riders, including paratransit riders can use a mobile application to summon prompt and efficient transit service.

The AI-driven algorithm behind the service not only learns and evolves from increased usage but also guides the existing, professional drivers along the safest and most expedient routes. The project utilizes union operators and trains early career professionals as operators and maintenance personnel from the local colleges. Additionally, we are improving algorithms to optimize electric vehicle charging to increase operational efficiency and energy conservation.

This project stands as a testament to our approach, showcasing AI as a powerful ally in elevating and integrating transportation services to meet the needs of all communities.

I look forward to delving into these topics with you today.

Thank you for your attention and for supporting this vital work.

Recently, School of Electrical and Computer Engineering (ECE) Professor Chris Rozell traveled to Washington, D.C. to share the impact of his BRAIN Initiative research with U.S. Congressional offices — and offer insights on how critical this program is to society. The briefing took on a particular urgency because BRAIN Initiative funding was cut over 40% this year, and future funding appears to be in jeopardy in the current federal budget climate. 

“The millions of patients suffering with intractable neurologic disorders and mental illness deserve a moonshot to develop new solutions for their conditions,” said Rozell, who also holds the Julian T. Hightower Chair in ECE and serves on the executive committee for Georgia Tech’s Neuro Next Initiative. “You can't get to the moon with a paper plane, and you can’t get there without a map. The BRAIN Initiative is a vital program because it's one of the few places that brings together interdisciplinary teams that include the scientists who have been building maps of brain circuits and the engineers who have been building rockets to understand and intervene with those circuits. 

“I'm proud to have had the chance to represent not only our own research, but the incredible community here at Georgia Tech and around the country working to understand many different aspects of the brain, developing new neurotechnologies, and advancing therapies for neurologic disorders.” 

Interdisciplinary impacts 

“The main message we presented to Congress is that the interdisciplinary combination of rigorous science and technical innovation can have enormous societal impact over the next few decades,” said Rozell. 

A stark example of that impact was published in Nature this past fall. In this research, Rozell and his collaborators at the Icahn School of Medicine at Mount Sinai and Emory University School of Medicine identified the first known biomarker of disease recovery with deep brain stimulation in treatment-resistant depression. 

“The fact that an engineer can advance clinical therapies is a testament to the new era we're in,” says Rozell, “where disciplinary boundaries are fading, and technological innovation accelerates our scientific and translational breakthroughs.” 

This research served as a focal point of the congressional briefing, where Rozell presented with BRAIN Initiative Director John J. Ngai, clinical collaborators, and a family whose lives have been transformed by this work.  

“Events like last week are dream come true,” shared Jon Nelson, who was treated with deep brain stimulation as part of the study and presented with Rozell in D.C. After living through 10 years of debilitating, treatment-resistant depression, Nelson says “remission of depression still doesn't feel real. It's been a year and a half, and I still am in awe every single day. 

“The fact that I have come out of this study and found that the disease is purely an electrical deficiency in my brain has fueled me to completely pulverize the stigma of mental illness,” Nelson explained. “When you have an opportunity to go speak to Congress — that’s about as great of a platform as you can get for that. Being able to put a face to what the BRAIN Initiative funding can do for people was just amazing.” 

When meeting with local representatives, Rozell also relayed his work as co-executive leader of the Neuro Next Initiative, a budding Interdisciplinary Research Institute at Georgia Tech. 

“I was thrilled to highlight that Georgia Tech is leading the charge with the Neuro Next Initiative, which will evolve into a full Interdisciplinary Research Institute in 2025,” said Rozell. “Georgia Tech has the ingredients to become a leading center for modern technology-driven interdisciplinary brain research and workforce development. 

“This visit was a reminder to me that research funding is not guaranteed and it’s important to keep communicating the critical value that research plays in advancing our understanding, training our workforce, fueling our economy, and ultimately making a better tomorrow for society.”