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Interests

The Voelz group uses biomolecular simulation and statistical mechanics to study protein folding, ligand binding, and molecular design.  From large numbers of simulation trajectories generated on distributed computing platforms, we construct Markov state models (MSMs) of conformational dynamics, which can be used to efficiently estimate mechanistic information about pathways and rates.  Through these methods and others, we aim to predict and design properties of cyclic peptides and other peptidomimetics. We also develop Bayesian inference approaches to model structural ensembles using a combination of experiment and theory.

Biography

2007-2011             Postdoctoral researcher, Stanford University

2007                        Ph.D. University of California, San Francisco

1999                         B.A. University of Minnesota     

Selected Awards

National Institute of General Medical Sciences, National Institutes of Health (R01). Temple University CST Distinguished Teaching Award.