David Gfeller

David Gfeller works as a computational biologist at the Swiss Institute of Bioinformatics (SIB). His main scientific interests are in the broad field of Computational Biology and Molecular Modeling. Current projects include computational investigation of kinase specificity, peptido-mimetics design of protein interaction inhibitors, non-natural sidechains modeling, using both statistical methods to extensively mine available experimental datasets as well as state-of-the-art structural modeling techniques. From 2008 to 2010 he worked as a post-doc at University of Toronto in Gary Bader's lab. There, he developed several computational techniques to predict protein interactions involving a variety of signaling domains, such as PDZ or SH3. Among else, he devised a new algorithm capable of uncovering multiple specificity in protein domains, which revealed new binding modes of signaling proteins. David was trained as a physicist at University of Lausanne where he received his Master in 2003. He then obtained a PhD in Theoretical Physics at the Swiss Federal Institute of Technology (EPFL) in 2007, working with Prof. Paolo De Los Rios.