Category Archives: Alumni
Christopher Leung
Chris Leung is a OMSCS student and a 2023 alumni of the Design & Intelligence Lab’s SAMI team. Chris holds an (honor) bachelor’s in computer science from the University of Waterloo. His topic of research is self-correction, explanation, and error localization using TMK models.
Professionally, Chris is a Machine Learning Engineer working on researching state-of-the-art recommender system AI at Meta and has previously worked in ML at Pinterest, Okta, and Google.
Chidimma Anyi
Chidimma Anyi is a graduate student in Computer Science at Georgia Tech, specializing in Human-Computer Interaction. Chidimma holds a bachelor’s degree in Computer Engineering. Within the DILab, she works on the SAMI project. Outside of Georgia Tech, she works as a data analyst with a college, and volunteers to tutor K-12 students.
She is interested in the areas of Human-AI interaction and the application of AI in education.
Luke Eglington
Luke Eglington is a research scientist in DILab and contributes to the VERA, Jill Watson, and SAMI projects. His research focuses on developing and optimizing adaptive instructional systems (AIS) by accounting for principles of human learning and attention. For example, Luke recently published a paper showing how to create an AIS for maximally efficient spaced practice. Other research interests include individual student differences, mathematical models of learning, metacognition, and visual attention.
Andrew Hornback
Andrew is a PhD student in Computer Science specializing in Machine Learning and Interactive Intelligence. He is interested in Artificial Intelligence and Computational Biology. Prior to Georgia Tech, he did research in financial derivatives with Dr. Robert E. Whaley at Vanderbilt University.
Dalton Bassett
Dalton is a computer science master’s student at Georgia Tech. He joined DILab’s IBID project in December 2020 as a researcher and developer. His research interests include natural language processing, reading comprehension, and leveraging machine learning to increase access to information for everyone.
