Prof. Smith’s research focuses on probability theory and computational statistics, with particular interests in Markov chains, Monte Carlo methods, random matrices, embeddings, rankings, and applied data problems.
Current research areas include:
- Markov chains in statistical physics
- Markov chain Monte Carlo (MCMC) and related methods in computational statistics
- Connections between random matrices, embeddings, and ranking systems
Research Group(s): Statistics and Probability