Curriculum vitae

CV.

Education

Princeton University

Ph.D., Mechanical & Aerospace Engineering · Plasma Control Group

Mar 2025 — Present

Princeton University

M.A., Mechanical & Aerospace Engineering

Jun 2023 — Mar 2025

University of California, Los Angeles

B.S. Physics & B.S. Cognitive Science (Specialization in Computation)

Aug 2019 — Jun 2023

Research experience

Graduate Researcher — Princeton MAE / PPPL

Plasma Control Group · advised by Egemen Kolemen

Jul 2023 — Present

Led the first-of-kind real-time ML-enabled emission front control experiment at the DIII-D National Fusion Facility.
Developing foundation models for tokamak plasma data.
Built TokEye, a fast signal-extraction pipeline for fluctuating tokamak time series.

Cognitive ML Research Assistant — UCLA Psychology

Hongjing Lu lab

Jan 2023 — Jun 2023

Developed reinforcement learning models for visual perception tasks.

Nuclear Physics Research Assistant — UCLA

Physics & Astronomy · Huan Huang lab

Aug 2022 — Jun 2023

Contributed to Glauber model verification analyses for heavy-ion collisions.

Plasma Modeling Summer Intern — Princeton Plasma Physics Lab

Mario Podesta

Jun 2022 — Aug 2022

Improved simulation speed of ORBIT-GPU by 20× on CUDA.

Biophysics Research Assistant — UCLA

Physics & Psychology · Katsushi Arisaka lab

Oct 2019 — Feb 2022

Investigated 3D visual perception of space and shape; co-authored bioRxiv preprint (2022).

Engram Independent Researcher — UCLA Chemistry

Paul Weiss lab

Jan 2020 — Mar 2020

Bioengineering Research Assistant — UCSD

Milan Makale lab

Jun 2017 — Feb 2019

Publications & talks

Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models

ICLR 2026 Workshop DATA-FM

Apr 2026

TokEye: Fast Signal Extraction for Fluctuating Time Series

arXiv preprint

Feb 2026

Beyond the Loss Curve: Scaling Laws, Active Learning

arXiv preprint

Feb 2026

Regulation Compliant AI for Fusion

Nuclear Fusion

Feb 2026

Acknowledged in 1000 Layer Networks for Self-Supervised RL (NeurIPS 2025 Best Paper Award) for debugging experiments and HPC infrastructure.

Honors

Princeton Artificial Intelligence Lab Graduate Student Fellow

2026

UCLA College of Letters & Sciences Dean's List

2021

UCLA College of Letters & Sciences Honors Scholars Program

2019

Skills

Programming: Python, PyTorch, MATLAB, C/C++ (CUDA), Bash, Mathematica.
Software & tools: LaTeX, OpenBCI, Microsoft Office Suite, Blender, Photoshop, CAD (SolidWorks, Fusion 360).
Languages: English, Mandarin, Japanese.