My research interest is in mathematical and computational
biology, uncertainty quantification, and scientific computing. I have been developing numerical
methods for high-dimensional stochastic systems and stochastic processes. I
also work on modeling cancer growth and drug resistance
in the purpose of optimizing anticancer therapies, and study approaches to quantify uncertainty in data-driven models.
I co-organize PDE and Applied math seminar and ICQMB seminar at UCR.
I was a Brin postdoc fellow at University of Maryland, College Park, working with Doron Levy. I received my Ph.D. from the Division of Applied Math at Brown University, working with George Em Karniadakis. I received my B.S. in Applied mathematics and M.S.in Mathematics from KAIST (Korea Advanced Institute on Science and Technology), working with Professor Chang-Ock Lee.
Mathematical and Computational Biology, Mathematical Oncology, Data-driven modeling
Stochastic modeling and Uncertainty Quantification
Computational methods for high-dimensional stochastic systems
Multi-scale modeling and simulations
Numerical PDE and High-performance computing