I wrote my undergraduate thesis on the self-assembly of active Brownian particles. I developed agent-based simulation software equipped with order parameter measurements and an interactive genetic algorithm, enabling the efficient exploration of parameter space and the inverse design of systems with desired emergent behaviors (supervised by Prof. Eric Bonabeau and Prof. Rohan Shekhar).
paper summary article source code web app (lite)
I participated in the undergraduate research program at the Perimeter Institute for Theoretical Physics and worked with Dr. Denis Rosset on numerical formulations associated with the inflation technique—an algorithmic procedure to derive Bell-type inequalities for quantum networks.
talk video slides
During a semester in Korea, I worked with Prof. Tae Jeong Kim at Hanyang University Particle Physics and used deep neural networks to improve the identification of isolated muons from simulated collision data.
slides
As an REU at the Santa Fe Institute, I developed and optimized a local search algorithm for the boolean satisfiability problem (SAT) by combining the novelty search heuristics and multi-objective optimization (supervised by Prof. Joshua Grochow).
talk video slides paper
I programmed software that post-processes data from large scale biofluid dynamics simulations, calculates statistics and provides interactive visualizations.
screenshots poster
I gathered tens of thousands of customer reviews, extracted feature-based sentiment scores using machine learning and designed a recommendation algorithm for cruise matching.
web app
For our first-year final project, I worked with three other Minerva students on a project proposal to combine active learning and interactive exploration tools with Wikipedia content. We presented at the Wikimedia Headquarter in San Francisco.
talk video slides