Yallen Bai is a graduate student studying Computer Science at Georgia Tech, specializing in Machine Learning. He has experience working in the healthtech and e-commerce industries. In his free time, Yallen enjoys playing the piano. Currently, Yallen is a member of the DILab’s Architecture for Learning (A4L) team.

Isaac Lo is a graduate student pursuing an MS in Computer Science at Georgia Tech. As part of the Design Intelligence Lab, he works on the Jill Watson Project, researching virtual AI-powered Teaching Assistants to enhance online learning. He holds a B.S. in Mechanical Engineering from the University of Illinois at Urbana-Champaign and is passionate about applying AI to improve everyday life. Outside of his studies and research, Isaac enjoys hiking and cooking.

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