CV

Education

B.S in Computing, College of Creative Studies, University of California Santa Barbara. 2026 (expected)
B.S in Physics, University of California Santa Barbara. 2026 (expected)

Work experience

Undergraduate Researcher, UC Santa Barbara (Fall 2022-Present)
- Jeong Lab
  - Building flow matching models for unsupervised representation learning in cosmology. We focus on building models with physically meaningful and interpretable latent spaces
  - Skills: Generative ML (diffusion, flow matching, VAEs)
- OPUS Lab
  - Built first ever hardware implementation of higher order Ising machines for combinatorial optimization, demonstrated state-of-the-art performance, while enabling mapping multiple problem instances onto a single chip.
  - Skills: Optimization algorithms, Markov Chain Monte Carlo, SystemVerilog
- ARCHLab
  - Proposed and simulated data transport mechanisms for petascale machine learning training
  - Skills: Network/hardware simulation
Computational Physics Fellow (Summer 2025)
- Los Alamos National Laboratory
- Developing codes for modelling relativistic electron scattering in plasmas
- Skills: Numerical methods, Fortran, multiphysics simulation
Research Intern (Summer 2024)
- LIGO Laboratory
- Developed graph neural network based deep learning models for interferometer emulation.
- Skills: Deep learning, graph neural networks, Pytorch
Undergraduate Teaching Assistant (Fall 2023-Present)
- Teaching assistant at UC Santa Barbara for: Intro to Scientific Computing, Data Structures and Algorithms 1 & 2, Introductory Electrostatics.
- Wrote and graded assignments, held office hours, proctored exams.
Flight Software Intern (Summer 2023)
- Astranis Space Technologies
- Developed data analysis pipelines for analyzing satellite telemetry data
- Built driver interface for communication between Astranis and GNSS satellites
- Skills: Data Analysis, CI/CD
Firmware Engineering Intern (Summer 2022)
- TenaFe, Inc.
- Developed high level simulation of SSD controller, including simulations of error correction, flash modules
- Skills: C++, hardware simulation

Skills

Physics: particularly numerical methods for physics, and methods of statistical physics
Machine Learning: deep learning, generative (particularly diffusion, flow and energy based models)
Computing: scientific and high performance computing, Markov Chain Monte Carlo methods