Computational Physics
Monte Carlo simulation, quantum optics experiments, and data analysis rooted in physics.
Monte Carlo Simulations in Python
Two Monte Carlo case studies built from first principles: modeling energy deposition in a CERN ATLAS-style calorimeter cell via inverse transform sampling, and simulating a year of stock price paths with geometric Brownian motion.
Extremely High Velocity Quasar Outflow Research Pipeline
My working branch of the UW Bothell quasar research group's collaborative codebase: Python tools for normalizing raw SDSS spectra, flagging absorption troughs, and running cross-correlation, redshift, and variability analyses to isolate extremely high-velocity outflow (EHVO) quasars from the DR16 sample.
Measuring Planck's Constant Using LEDs
Derived Planck's constant from scratch by measuring the threshold voltage of four LED colors and relating the slope of voltage-vs-frequency to h — landing within 3.7% of the accepted value using a low-cost breadboard circuit.
Quantum Eraser: Erasing & Restoring Which-Path Information
Built a polarizer-and-double-slit setup to test at what polarization angle a photon's which-path information is erased, mapping interference-fringe visibility against filter angle to pinpoint the laser's dominant polarization axis.