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.

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.

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/

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/ 

Terry Junsoo Park is a current graduate student at Georgia Tech, studying computer science, specializing in machine learning. He has industry experience as a data analyst for the Canadian federal government. His research interests lie in the intersection of artificial intelligence, cognition, and medicine. He is now working in the DILab as part of the Architecture for Learning (A4L) team.

Learn more about Terry here: https://www.linkedin.com/in/parkjsdev/

Harshavardhan is software engineer with work experience of 4 years and has worked in multiple big tech companies with experience in highly scalable systems handling over 100 million users.

Nicholas Alico is a M.S. student in Computer Science at Georgia Tech, where he is currently
pursuing a Specialization in Machine Learning. Prior to matriculating to Georgia Tech, Nick
graduated from Penn State University and the Schreyer Honors College with a B.S. in
Human-Centered Design and Development with a Focus in HCI. Nick aspires to act as a liaison
across the fields of engineering, UX, and healthcare by addressing challenging problems in a
user-centric manner through research, design, and engineering.

Within the Design Intelligence Lab, Nick conducts research with the VERA team. His prior research experience lies at the intersection of Software Engineering, UX, and HCI, where he conducted research and completed his honors thesis investigating competency-based learning within UX and engineering curriculum led by Dr. Steve Haynes. Outside of GT, Nick currently works as a UX Engineer at Charles River Analytics in Cambridge, MA. Here, he researches, designs, and develops cutting-edge Human-AI applications for research programs in the healthcare, defense, and technology industries.

Nick also enjoys running, traveling, and watching baseball in his free time. To learn more and connect with Nick, please visit his website: https://www.nickalico.me