My research aims to enable fast and accurate simulations of polymer systems by coarse-graining. There are well-known methods for coarse-graining particle-based models, but what about field theories? We developed a new method, phase field mapping, that systematically produces a fast and accurate phase field model using the output of short self-consistent field theory calculations. These field theories are ideal for describing dense polymer systems at near-atomistic scales, since simulations become more efficient as the density increases.
I grew up in Edmonton, Alberta, Canada, and moved to New York for high school and college. I have a B.S. in chemical engineering from Cornell University, where I earned a red belt in sport taekwondo. Outside of research, I enjoy cycling, and playing the piano and guitar.
Tools & Techniques: polymer field theory, statistical mechanics, simulation (especially pseudo-spectral and finite difference methods), Python, MATLAB, Mathematica, C++