Dr. Scott Schmidler

Biography

Scott C. Schmidler is an Associate Professor in the Department of Statistical Science at Duke University, where he has been since 2010. He holds an additional appointment as an Associate Professor in the Department of Computer Science since 2011. His research interests encompass a variety of advanced statistical methodologies, including Monte Carlo methods, high-dimensional sampling algorithms, and Markov Chain Monte Carlo (MCMC). He specifically focuses on Bayesian computation and probabilistic graphical models, which have applications in computational biology and immunology, particularly in protein structure folding and molecular evolution. His extensive experience combines computational complexity with statistical inference, addressing challenges particularly relevant in modern scientific inquiries. Schmidler has published in prominent journals, contributing to the field of statistical graphical models and immunology. He received his Ph.D. from Stanford University in 2002 and holds a B.A. from the University of California, Berkeley, awarded in 1995.

Research Interests

Experience