Experience

  1. Research Assistant

    Jan 2025 — Present
    Q-Lab, UCSD
    Advisors: Prof. Lianhui Qin and Matthew Ho

    Investigating memory systems for compositional reasoning on ARC-AGI. Designed feature extraction methodology for Program Synthesis memory format. Built complete concept dataset generation pipeline using LLMs.

    LLM Agents Program Synthesis Python

  2. Research Assistant

    Jun 2025 — Present
    Wang Lab, UCSD
    Advisors: Prof. Wei Wang and Young Su Ko

    Architected a heterogeneous Mixture-of-Experts (MoE) system for chemical reaction prediction. Implemented GNN encoders with shortest-path positional encodings for stereochemistry-sensitive modeling.

    PyTorch Geometric MoE GNNs

  3. Student Researcher

    Sep 2025 — Present
    HDSI Capstone
    Advisor: Prof. Hao Zhang

    Building scalable pipelines for training open-source large language models. Benchmarking inference frameworks and exploring alignment strategies.

    Distributed Training Docker AWS

  4. Research Assistant

    Sep 2023 — Jun 2024
    U.S. Immigration Policy Center
    Advisors: Prof. Tom K. Wong and Dr. Gabriel De Roche

    Utilized Python and R to analyze historical naturalization data and forecast long-term immigration trends. Developed data pipelines and visual dashboards.

    R Data Vis

Teaching

  1. Tutor

    Summer 2025
    DSC 40A: Theoretical Foundations of Data Science I

    Conducted tutoring sessions covering set theory, probability, and algorithmic thinking. Led review sessions before exams and supervised oral examinations.

    Probability Combinatorics

  2. Grader

    Fall 2024 — Fall 2025
    MATH Department, UCSD

    Graded for probability and statistics courses across 6 terms, including MATH 180A (Probability), MATH 180C (Stochastic Processes), MATH 181A (Mathematical Statistics), and MATH 185 (Computational Statistics). Provided detailed feedback on proof-based problems.

    Probability Statistics Stochastic Processes