Design Intelligence Lab
Making the invisible visible
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.
Leena Kim is an MSCS student at Georgia Tech specializing in Machine Learning. Leena holds a Bachelor of Art in Sociology from Kyung Hee University, South Korea. Her topic of research is personalized AI and general machine learning.
Leena has professional experience in software engineering, front-end and back-end development and statistical data analysis. Leena is a Software Engineer in one of the leading banks in Korea and has previously worked in data analysis at the Chicago Council on Global Affairs and United Nations Development Programme, Timor-Leste.
Joon Kim is based in San Francisco. He works in corporate partnerships at LinkedIn by day and studies as an OMSCS graduate student by night. He majored in mathematics and double majored in history as an undergraduate at Amherst College and spent two years working as an 8th grade math teacher with Teach for America. Joon is working in the DI Lab concurrently with his studies in the Artificial Intelligence course at Georgia Tech, and is passionate about the possibilities that AI will enable in education.
You can find Joon’s website here: www.joon.kim
Sara Kazemi (they/she) is interested in topics intersecting cognitive science, computer science, linguistics, and education. In addition to being a graduate research assistant for the Jill Watson project with the DILab, they create developer-centered technical learning content at Okta.
Learn more about them here: https://www.linkedin.com/in/sarakazemi/
Brittany Harbison is currently pursuing a Master of Science in Computer Science at Georgia Tech. She holds a Bachelor of Science degree in Computer Science from Tennessee Tech, where she also served as a research assistant for projects related to pedestrian flow and operations research. At DILab, Brittany serves as a research assistant for the SAMI project.
Her research interests include Natural Language Processing, High-performance Machine Learning, and general AI. In her free time, she enjoys playing RPG and strategy video games, as well as painting miniatures.
Jared Gage is pursuing a master’s in Computer Science from Georgia Tech and has professionally worked in data analytics and engineering within multiple industries. He is a graduate research assistant for the DILab w, specifically on data engineering and anonymization efforts. He received a BS from UCLA in Cognitive Science and Computing. Jared’s research interests include Neural-inspired AI systems and High Performance ML.
