Resume
Academic Achievements
- Published multiple papers, such as 'A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs' (COLM 2025), 'InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly' (ICLR 2025), etc. Served as general chair or co-chair for several international conferences, including ICLR 2023 and ACM KDD 2020.
Research Experience
- Was an assistant professor from 2010 to 2016 and an associate professor from 2016 to 2020. Served as a research staff member at the IBM T.J. Watson Research Center from 2006 to 2010. Currently, a full professor in the Thomas Lord Department of Computer Science at USC, and also the Director of the USC Machine Learning Center and co-Director of the USC Institute of Ethics and Trust in Computing.
Education
- Received M.S. and Ph.D. from Carnegie Mellon University.
Background
- Research interests include machine learning for time series, physics-informed machine learning, and interpretable machine learning, with applications to health, sustainability, and social media.
Miscellany
- Some interesting stories about AI research work: 'The Perfect Stitch: Training for Surgery Using AI', 'USC Researchers Analyze Coronavirus Misinformation on Twitter', 'Fighting Addiction Before It Begins'.