I was mainly interested in developing numerical methods for PDE-constrained optimization problems. Applications for PDE-constrained optimization include optimal control and inverse problems. I worked on developing efficient and scalable SAND (simultaneous analysis and design) approaches for nonlinear dynamic problems and on approximating a PDE-constrained optimization formulation with a reduced order model. I was also interested in developing statistical models for social sciences.
Ph.D. in Computational and Mathematica Engineering, 2012, Stanford University, CA, USA B.S. in Civil and Environmental Engineering, 2007, Cornell University, CA, USA