معرفی
Yiping Lu is an Assistant Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University's McCormick School of Engineering. His research focuses on developing interdisciplinary approaches combining domain knowledge (differential equations, stochastic processes), machine learning, and experiments. Key interests include scientific machine learning (AI4Science), stochastic simulation, and robust machine learning.
Education:
- Ph.D. in Applied and Computational Mathematics, Stanford University (2023)
- B.S. in Computational Mathematics, Peking University (2019)
Research Highlights:
- Hybrid research integrating ML with scientific domains like PDEs and inverse problems
- Development of Physics-Informed Learning frameworks
- Contributions to deep learning theory (ResNets, neural collapse)
- Advances in kernel operator learning and adversarial robustness
Awards:
- CPAL Rising Star Award (2024)
- University of Chicago Data Science Rising Star (2022)
- Stanford Interdisciplinary Graduate Fellowship (2021)
Labs/Teams:
- SCALE Lab (Scientific Computation and Learning at Northwestern)
- Collaborations with NYU's Courant Institute and Stanford
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