Hwanwoo Kim

PROFILE.JPG

Jones Laboratory 307

5747 South Ellis Avenue

Chicago, IL 60637

hwkim (at) uchicago (dot) edu

I am a fourth-year Computational and Applied Mathematics PhD student at the University of Chicago, advised by Prof. Daniel Sanz-Alonso. I also work closely with Prof. Panos Toulis. Prior to UChicago, I received an MMath degree from the University of Waterloo and a BS degree from the University of Michigan.

Broadly speaking, my research interests lie in developing methodological tools for uncertainty quantification, experimental design and statistical inferences. In particular, I have worked on Bayesian/Monte-Carlo methods for parameter estimation problems under differential equation constraints and leveraged stochastic gradient descent for efficient statistical inference procedures.

Keywords:

  • Bayesian Inference, Monte-Carlo Method, State-Space Modelling, Derivative-free Optimization
  • Inverse Problem, Experimental Design, Computer Experiments
  • Stochastic Gradient Descent, Randomization Test, Statistical Inference

news

Sep 26, 2022 I will be giving a talk at the SIAM conference on mathematics of data science.
Aug 29, 2022 I will be attending IMSI workshop on Gaussian processes .
Jun 29, 2022 I gave a talk at the 2022 ISBA world meeting.