Physics & CS @ Yale '27. Interested in physics, AI, and simulation.


Courses

Physics

Linear Algebra, Classical Mechanics, Electromagnetism, Quantum Information, Optics†, Quantum Mechanics I†

† Graduate level

Computer Science

Probability Theory, Discrete Mathematics, Data Structures, Intensive Algorithms, Systems Programming, Machine Learning Deep Learning on Graphs†, AI Infra Systems†, Robot Learning†, Large Language Models†, Computer Vision†

† Graduate level

Experience

Sous Research Group · Apr 2025 - Present
Transfer learning for phase transitions using Gaussian processes and neural networks.
Swayable · May 2025 - Aug 2025
LLM post-training for demographic modeling and VLMs tuning for multimodal ad analysis.
Yale Quantum Systems Lab · Jan 2024 - Aug 2024
GNNs for quantum network optimization and topology design.

Teaching

Undergraduate Learning Assistant
Spring 2026 · CPSC 3810 Introduction to Machine Learning
Fall 2025 · CPSC 2020 Mathematical Tools for Computer Science
Spring 2025 · PHYS 2610 Intensive Introductory Physics
Last edited: January 19, 2026