Paper 'Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation' accepted to ICML 2025.
Research Experience
Currently a Postdoctoral Researcher in Professor Rose Yu's STL Lab at UCSD; previously a Teaching Fellow at UCLA for CS 111: Operating Systems Principles and CS 180: Introduction to Algorithms and Complexity; served as a Teaching Assistant at UBC for ENGR 385: Heat Transfer Applications, ENGR 479: Measurement Principles in Thermal Fluids, and APSC 182: Matter and Energy.
Education
Completed Ph.D. in 2024 from the AIVC lab at UCLA, co-advised by Professors Chenfanfu Jiang and Demetri Terzopoulos.
Background
Research interests span machine learning and numerical methods for scientific applications, including but not limited to physics-based simulations (fusion, mechanics, fluid dynamics, network systems), data-driven analysis, and creating scientific AI assistants.
Miscellany
Mentored several undergraduate and graduate students; involved in programs such as Gear Up2Research (GEAR), Early Research Scholars Program (ERSP), and Summer Training Academy for Research Success (STARS).