I am a research assistant professor at the Department of Computer and Information Science at the University of Pennsylvania. Previously, I completed my Ph. I am broadly interested in machine learning and programming languages research. Recently, I have been working on developing trustworthy machine learning algorithms. Machine learning is increasingly used in real world systems where failures can be catastrophic, such as autonomous vehicles, medical diagnosis, and legal decision making. For such applications, there are many desirable correctness properties that machine learning models should satisfy, including safety, robustness, fairness, causality, and interpretability.
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