معرفی
Yiling Chen is the Gordon McKay Professor of Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences. Her research focuses on the intersection of artificial intelligence and social sciences, emphasizing robustness and integrity of AI systems in strategic environments. She is affiliated with the EconCS research group and the Center for Research on Computation and Society (CRCS).
Key research areas include information elicitation, incentive-aware machine learning, algorithmic fairness, and algorithmic game theory. Notable contributions include work on prediction markets, privacy mechanisms, and behavioral experiments.
She has taught courses such as AM 121: Introduction to Optimization, CS 128: Convex Optimization, and advanced topics courses on blockchain, societal impacts of AI, and data valuation. She has organized workshops on social computing, prediction markets, and human computation.
Her work has received awards, including the Best Technical + Interdisciplinary Paper Award (2019) and the Best Paper Award at CSCW (2019). She advises graduate students in computer science with a focus on interdisciplinary work between CS and economics.
