Thomas Bowlin is a research assistant on the IVY team at DILab and is a Master’s student in Georgia Tech’s OMSCS program, specializing in Machine Learning. He works full-time as a software engineer, has a passion for life-long learning, and has research interests in artificial intelligence, reinforcement learning, and game design.

Cristina DeLisle is an MSc candidate in Computer Science at Georgia Tech and a Graduate Research Assistant in the Design Intelligence Lab, where she works on the Jill Watson project. She is also an R&D Software Engineer with experience in the open-source software ecosystem, actively contributing to projects that promote social good and foster open collaboration.

Cristina enjoys competing in hackathons, mentoring, lifelong learning, speaking at tech conferences, organizing events, and collaborating with diverse teams. She holds a First-Class BSc in Computer Science from the University of London, with academic guidance from Goldsmiths.

Zebing Li is a research assistant of the IVY team at DILab and holds a master’s degree in Quantitative and Computational Finance from Georgia Tech. Currently, she is pursuing the OMSCS program at Georgia Tech. Her research interests include natural language processing (NLP), generative AI, cognitive AI and quantitative finance.

Beyond her academic pursuits, she works as a quantitative analyst at an investment bank. In her free time, she enjoys music and hiking.

Moises Campos Zepeda is a graduate research assistant for the VERA project and a current master’s student in Computer Science at Georgia Tech. Outside the lab, he works as a Site Reliability Engineer at IBM Security, supporting verification-related products and infrastructure.

He pursued his undergraduate studies in Electrical Engineering at the University of Costa Rica. He has also previously worked in Boston Scientific on software testing and automation for medical devices and interned with the ASICs Verification team for HPE-Aruba.

In his free time, he enjoys learning languages, playing the guitar, and RPG video games.

Erik Goh is an M.S. student in CS at Georgia Tech, specializing in ML. He first-authored two pending publications with Dr. David Joyner and Dr. Ana Rusch, where he applied programmatic web scraping, LLMs, text embeddings, and unsupervised learning to uncover insights in large-scale learning. Prior to DILab, Erik also worked in ASDL’s Energy Infrastructure and Data Engineering group, modelling energy data and census information for resource planning. His industry background includes leading technical and creative innovation teams prototyping, pitching for funds, and building products; his latest one was funded by Microsoft, for a product that leverages GOFAI, ML, and LLM for revenue identification. He is currently also a research assistant in DILab, working on VERA.

Research Interest: Self-Reasoning, Meta-Learning, Cognitive Architectures, AI Education, Knowledge Representation, Transfer Learning.

LinkedIn: https://www.linkedin.com/in/ewg0000/

Jun Yu Tan is a MSCS student at Georgia Tech specializing in Machine Learning, with research interests in LLM applications in software engineering and human-AI collaboration. Based in San Francisco, he works as an AI engineer at Tusk, where he develops AI agents to enhance software development workflows.

LinkedIn: https://www.linkedin.com/in/tanjy

Website: https://jytan.net

Ming Zhong is a Graduate Research Assistant and a student in the OMSCS program. He holds a Master’s degree in Statistics from Columbia University and brings extensive expertise in data science and analytics. In addition to his work at DILab, Ming supports a convenience store chain as a Data Scientist, leveraging data-driven solutions to optimize operations and decision-making.

His research interests span natural language processing, agentic AI, and the application of artificial intelligence in ecological studies.

LinkedIn: Steven Zhong | LinkedIn

Youssef Medhat is from Egypt. He is a Machine Learning Software Engineer who loves working on ideas that can make life easier and better for everyone. Youssef chose this field because it’s rooted in research and gives him the chance to create solutions that can truly impact society in a positive way. Youssef is currently pursuing a Master’s degree in Computer Science, specializing in Machine Learning, through Georgia Tech’s OMSCS program.

Outside of work and studies, he focuses on personal growth and enjoys exploring new things. Whether it’s exercising, playing MMORPGs, trying out new restaurants, or spending time with the people he cares about, Youssef believes in keeping a healthy balance in life. His favorite food is sushi, and he’s always on the lookout for great places to try it!

Youssef is passionate about discovering the potential of Machine Learning to drive innovation and create a better, more accessible future for everyone. Feel free to connect with me and learn more about my journey here: https://www.linkedin.com/in/youssef-medhat/

David Chen is a part-time M.S. student in Computer Science in Georgia Tech, pursuing a specialization in Machine learning. He is part of the Jill Watson team working on conversational AI for education use cases. 

Professionally, David is a Senior Software Engineer at Hertz. He leads a team of engineers to develop new products that help drivers earn income on Uber and Lyft using Hertz vehicles. Motivated to deepen his understanding of LLM fundamentals, David has begun prototyping LLM solutions in his day-to-day work at Hertz, streamlining manual processes and improving data accuracy. Prior to Hertz, he worked as a full-stack engineer at Samsara, GE, and several startups.

During his free time, David enjoys traveling, cooking, and woodworking. He can be reached at: https://www.linkedin.com/in/kdchen/