Jones Laboratory 307
5747 South Ellis Avenue
Chicago, IL 60637
hwkim (at) uchicago (dot) edu
I am a fourth-year Computational and Applied Math PhD student at the University of Chicago, advised by Prof. Daniel Sanz-Alonso. I also work closely with Prof. Panos Toulis.
Broadly speaking, my research interests lie in developing methodological tools for Bayesian modeling, uncertainty quantification, and experimental designs. Some of my recent works are on probabilistic/optimization methods for estimating parameters of complex dynamical systems governed by differential equations. I am also keen to utilize existing statistical/computational tools for modeling infectious diseases, social experiments, and physical phenomena.
- Bayesian Inference, Gaussian Process.
- Monte-Carlo Method, Stochastic/Blackbox Optimization.
- Randomization Test.
- Experimental Design, Computer Experiments, Active Learning.
- Statistical Inverse Problem.
- Data Assimilation, State-Space Model.