With over 20 years of experience in Bayesian inference, I help clients design models, implement efficient inference algorithms, and analyze complex data sets. My expertise includes Markov chain Monte Carlo (MCMC) for challenging data types, optimization of algorithm performance, and Bayesian modeling of biological processes. I’m skilled in hierarchical and graphical models as well as modern probabilistic programming tools.