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Scott C. Schmidler

Associate Professor of Statistical Science
Statistical Science

Overview


Research Interests:

  • Monte Carlo methods; high-dimensional sampling algorithms; Mixing times of Markov chains; MCMC; Sequential Monte Carlo; probabilistic graphical models; Bayesian computation; Computational complexity of statistical inference.

  • Computational biology; Protein structure and folding; computational immunology; computational biophysics; statistical physics; computational statistical mechanics; molecular evolution.

Current Appointments & Affiliations


Associate Professor of Statistical Science · 2010 - Present Statistical Science, Trinity College of Arts & Sciences

Education, Training & Certifications


Stanford University · 2002 Ph.D.
University of California, Berkeley · 1995 B.A.