About Me

I am currently a Senior 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.

Working on multiple AI for science projects (e.g. physics, healthcare, biology) where machine learning techniques are leveraged to advance scientific research and discovery. 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

  • 06/2024: Recieve the LLNL Global Security Silver Award for excellent management and execution of the HPC4EI project!
  • 05/2024: Our HPC4EI project with ArcelorMittal received 2nd place in AI category for the best Emerging Technology Awards, 2024!
  • 05/2024: Promoted to Senior Staff Scientist!
  • 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 Global Security 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!