I am a Ph.D. student in Computer Science at the University of Maryland. My research primarily focuses on problems in machine learning and natural language processing. I am advised by Jordan Boyd-Graber
and work in CLIP
. I also collaborate with Benjamin Van Durme
at Johns Hopkins University.
I currently work on human-in-the-loop
machine learning algorithms. These methods incorporate human feedback as an additional input so that outputs can be interpretable and applicable for downstream tasks. In the future, I am interested in using optimization theory, computational geometry, and statistical learning to develop artifical intelligent systems with fast, interactive updates. Additionally, I would like to explore concepts from HCI, economics, and psychology to observe patterns in human behavior that can help create user-friendly interfaces.
Outside of computer science research, I am an avid mountain climber. I grew up climbing mountains with my mom and will continue to pursue this passion throughout my life. The scenic pictures on this website are taken by me during backpacking trips.
- Michelle Yuan, Benjamin Van Durme, and Jordan Boyd-Graber. Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. Neural Information Processing Systems, 2018.
Email: myuan (at) cs (dot) umd (dot) edu
Address: A.V. Williams Building,
8223 Paint Branch Dr,
College Park, MD, 20740
Last updated: January 2019
Website design: Michelle Yuan
Photography: Michelle Yuan