I'm a Simons Postdoctoral Fellow at the University of Minnesota. I hold a PhD in physics from UCLA. I work on computational and theoretical problems in strongly interacting systems, including confinement, QCD strings and emergent many-body phenomena. I combine analytical work with large-scale numerics and, increasingly, machine learning.
Most of my work pairs a hard modelling problem with careful validation. I check samplers against exact results, report uncertainties that survive scrutiny, and probe models until I understand where they break.
I work on: Monte Carlo methods · statistical inference · generative models · numerical computing in Python
| Project | What it is |
|---|---|
| flow-matching-iaifi26 | Flow matching written from scratch in PyTorch, exploring optimal-transport pairings and composed transports |
| fine-graining-value-leakage | Decomposing a bias metric for large language models across 26 models, with bootstrap uncertainty |
| d1d5-bps-lifting | Which protected states in a holographic CFT survive deformation? Exact-in-N results from a Mathematica computer-algebra pipeline (arXiv:2610.36057; code available on request) |
| quant-finance-projects | Portfolio optimization, option pricing and hedging under stochastic volatility |
| Machine-Learning-for-Physics | Classical ML on scientific data, plus flow matching on curved manifolds |
- The Fate of 1/4-BPS States in the D1-D5 CFT, with S. Bintanja and D. Rathore (2026)
- Phases of Giant Magnetic Vortex Strings, with T. Dumitrescu, JHEP 2026
Full list: Google Scholar · INSPIRE · ORCID
Tools: Python · NumPy · SciPy · pandas · PyTorch · scikit-learn · Numba · Mathematica · LaTeX