NEW : Postition available: Postdoctoral Researcher in Computational Structural Biology and Immunology

Welcome to the Schmidler research group web page. Members of the group do theoretical and applied research in Bayesian statistics, bioinformatics, and computational biology. Ongoing projects in the areas of proteomics, molecular simulation, single-molecule experiments, protein folding, and prediction of protein structure and function are described under Biology Projects. Our work on Monte Carlo algorithms, change-point and segmentation problems, statistical shape theory and datamining may be found under Statistics Projects. In addition, we have projects on computer-aided drug design and biomaterials through various collaborations.

Scott Schmidler is Assistant Professor of Statistics and Decision Sciences at Duke University. Members of the group come from graduate and postdoctoral programs throughout the University and Medical Center, including Statistics, Mathematics, Computer Science, Engineering, and Biochemistry, as well as the Bioinformatics and Genome Technology program. Group resources include a shared 96-processor Beowulf cluster. Students interested in opportunities for rotation within the lab should send inquiries to scs@stat.

For inquiries from students outside Duke, please see Information for prospective students and postdocs.

Current projects in the group organized by biological area or by statistical methodology:

	Biology		Statistics
	Protein Folding		Stochastic Segmentation
	Proteomics		Statistical Shape Theory
	Protein Structure Prediction		Monte Carlo Algorithms
	3D Structure Analysis and Function Prediction