Department of Chemistry and Biochemistry, University of Notre Dame
Olaf Wiest’s research interests are in the areas of computational organic and medicinal chemistry. He uses both atomistic modeling and the application of statistical methods to understand and predict experimental results, usually in close collaboration with experimentalists at Notre Dame and around the world. He is a co-developer of the Q2MM/CatVS method for the virtual screening of ligands. Olaf received his Dr. rer. nat. from the University of Bonn in Germany and did postdoctoral research as a Feodor Lynen Fellow of the Alexander von Humboldt Foundation with Ken Houk at UCLA.