About Me
I am currently a Machine Learning Research Scientist at Lawrence Livermore National Laboratory. I received my Ph.D. degree at the University of California, Berkeley, where I was a member of the Mechanical Systems Control Lab and I was advised by Prof. Masayoshi Tomizuka.
My interests encompass the application of AI in scientific domains, particularly at the intersection of physics simulation and machine learning. I am focused on enhancing machine learning capabilities, such as improving generalization under various conditions, and developing accurate surrogate models that leverage High-Performance Computing (HPC).
I have served as PI and Co-PI in several Cooperative Research and Development Agreements (CRADAs) funded by the Department of Energy’s Advanced Manufacturing Office (AMO). These collaborations involve working with energy-intensive industries with the aim of minimizing energy consumption. Our team is actively seeking research collaborations. Please feel free to reach out if you are interested.
Education
- Ph.D. — University of California, Berkeley, 2021
- Major: Control
- Minor: Machine Learning, Optimization
- B.S. — University of Illinois at Urbana-Champaign, 2016
- Major: Mechanical Engineering
- Minor: Electrical and Computer Engineering
Recent News
- 01/2024: One paper towards creating generalizable and interpretable prediction model is accecpted by AISTATS 2024!
- 07/2023: Check out our promotion video for our accepted 2023 KDD paper!
- 06/2023: One paper on driving behavior generation is accepted by RA-L!
- 05/2023: One paper on ML for dynamic system modeling is accepted by KDD 2023!
- 03/2023: Two papers on physically-based simulation are accepted by ICLR 2023 Physics for Machine Learning Workshop!
- 02/2023: Selected as Rising Stars in Computational & Data Sciences!
- 08/2022: Received the LLNL E-Program Bronze Award for Individual Achievement!
- 06/2022: One paper on generalizability analysis is accepted by IROS 2022!
- 06/2022: One paper on reactive simulation is accepted by ITSC 2022!
- 02/2022: One paper on domain generalization is accepted by ICRA 2022!