Resume
Research Experience
- Currently a postdoctoral associate in the Statistical Science Department at Duke University, working with Eric Laber and Simon Mak.
Education
- Ph.D. in Computational Math from the University of Chicago, where he worked on statistical inverse problems under the guidance of Daniel Sanz-Alonso and stochastic approximation/optimization with Panos Toulis.
Background
- Research interests broadly lie in developing computational/statistical tools for Bayesian/probabilistic modeling, various types of experimental designs, and sequential decision-making. Keen to utilize existing methodological tools to tackle scientific problems arising from domain sciences.