Selected work in computational physics, quantum technology, data science, and biomedical modeling. Rigorous methods, real-world stakes.
Gradient-free Augmented Lagrangian optimization of stellarator coil boundaries using Simsopt and VMEC. Large parameter scans on NYU Greene HPC with MPI parallelism and Git-tracked experiments. Contributing to the case for fusion as a viable clean energy source.
Built and aligned a 405 nm laser and BBO crystal system to generate entangled photon pairs through spontaneous parametric down-conversion. Validated with spectrometer, IR camera, PMT, and power meter. Groundwork for future quantum cryptography experiments.
Built a portfolio optimization workflow around a custom variational quantum eigensolver. The project uses a shot-efficient SPSA variant, dynamic shot allocation, and hardware-aware noise mitigation to make quantum optimization more practical on NISQ devices.
A collection of six computational physics problems spanning Monte Carlo integration, Runge-Kutta and Bulirsch-Stoer solvers, random number generation, many-body simulation, 1D hydrodynamics, and radiative transfer. The largest study modeled blackbody radiation and gas-box transport using temperature-density optical depth data.
Built a MATLAB pipeline to track heart chamber volumes from medical imaging data. Optimized the runtime from 8 hours to under 5 minutes, a 99.6% reduction that made the workflow practical for clinical use.