Farshid Ghezelbash is an M.S. student in Computer Science at Georgia Tech. He previously earned a Ph.D. in Mechanical Engineering, with a focus on computational and experimental biomechanics. Currently, Farshid is a researcher at DILab, where he is working on the Jill Watson project.

Dianze Liu is an M.S. student in Computer Science at the Georgia Institute of Technology, specializing in Artificial Intelligence. At the Design Intelligence Lab, he works with the Jill Watson team, focusing on building more effective AI-powered Virtual Teaching Assistants. His work explores multimodal system design, retrieval-augmented generation (RAG), hallucination mitigation, and other cutting-edge large language model technologies.

Outside of research, Dianze enjoys sports and motorsports, with a particular passion for football. Go Buckeyes and Jackets!

Connect with Dianze on LinkedIn: https://www.linkedin.com/in/dianze-liu-bb7242116/

Ankita is a master’s student in Computer Science at Georgia Tech, specializing in Artificial Intelligence. At the Design Intelligence Lab, she is part of the Ivy team that integrates an intelligent AI coach into instructional video content to enable context-aware, active learning. She holds a bachelor’s degree in Electrical Engineering and currently works as a Data Scientist. 

In her free time, Ankita enjoys traveling, cooking, and playing tennis.

Christopher Demers Jimenez is an OMSCS student at the Georgia Institute of Technology specializing in AI. He is also a student researcher at the Design Intelligence Lab on the VERA team. He holds a Ph.D. in the English from the University of Pennsylvania, and he currently works as an Associate Professor of English at Stetson University. His literary research examines the discourse of catastrophe in 20th- and 21st-century global Anglophone literature, with interdisciplinary interests in ecocriticism, nuclear criticism, animal studies, biopolitics, and the sociology of literature. His work in the digital humanities focuses on the aesthetics of digital typography, the algorithmic politics of machine learning, and the computational dimensions of alphabets & technical standards such as Unicode.