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
Developed Tools
- AI Workshop Tracker — a free, community-maintained website that gathers workshop submission deadlines and accepted papers across major AI and robotics conferences (NeurIPS, ICML, ICLR, CVPR, COLM, ICRA, IROS, CoRL) in one searchable place. Conference deadline trackers have long existed, but workshops never had one — this site fills that gap, currently tracking 650+ workshops with a fully automated, open-source data pipeline. Found a missing workshop? Contributions are welcome!
Recent News
- 06/2026: Launched AI Workshop Tracker — workshop deadlines and accepted papers across major AI & robotics conferences, all in one place. Check it out!
- 09/2025: One paper on mesh graph based surrogate modeling for dynamic systems is accepted by TMLR!
- 07/2025: One paper on interpreting CFD surrogates is accepted by the XAI workshop on IJCAI 2025!
- 01/2025: One paper on innovative visual localization system for robotic agents is accepted by T-RO!
- 12/2024: Two papers on post-combustion carbon capture surrogate modeling are accepted by Frontier in AI! [paper1] [paper2]
- 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!