Stefan Oberdörster

My research focuses on developing a rigorous understanding of Markov chain Monte Carlo (MCMC) sampling methods, and lies at the intersection of mathematics, specifically probability and analysis, with statistics and computer science.

My research interests include:

• MCMC sampling

• Mixing times of Markov chains

• High-dimensional probability and concentration of measure