My research interests include computational mechanics, soft matter, shape optimization, parallel algorithms, and stochastic calculus. During my PhD, using polymer field theory and level set methods, I developed shape optimization algorithms for predicting the phases of polymeric materials with a free surface. Previously, in my postdoc, I developed parallel algorithms on distributed memory architecture for Accelerated Stokesian Dynamics (ASD) to simulate large-scale stochastic particle systems correlated through hydrodynamic interactions. Recently, as a research engineer, I developed a novel algorithm for fast and accurate computation of correlated Brownian motion of particles in a Stokes flow with many-body hydrodynamic interactions with near- and far-field interactions. I am also interested in stochastic calculus theory and applications.

Academic Appointments

  • Research Engineer, Chemical Engineering