I am currently a PhD candidate at the Institute of Applied Mathematics at the University of British Columbia specialising in mathematical biology, as well as a Quantitative Research Analyst with Powell Street Research.

My current research involves the development of numerical algorithms for molecular dynamics (MD) simulations, specifically in the context of receptor-ligand (RL) binding. This is a particularly challenging setup as most MD simulations assume that particles are unconstrained in 3D space, simplifying much of the mathematics of algorithms. RL systems are constrained systems that act in a pseudo-2D manner, complexifying the diffusive nature of such systems. My work looks to get around the problems surrounding 2D diffusion to create physically-consistent and efficient MD systems.

I am also interested in the field of finance. I am currently a Quantitative Research Analyst with Powell Street Research, a student-founded hedge fund startup initially founded at UBC. Here, I was added as an options specialist using my knowledge of stochastic calculus, data and statistical analysis, and algorithmic implementation to enhance market-neutral strategies. I also enjoy participating in trading competitions; I took part in the Rotman International Trading Competition 2026 where we came top 10 as newcomers, beating out many top-performing legacy teams.

I am currently seeking internships within finance, public health, or data science. Please feel free to reach out to me at ltyih@math.ubc.ca!