Ram Samudrala is Professor and Chief, Division of Bioinformatics, State University of New York, Buffalo researching multiscale modeling of atomic, molecular, cellular, and physiological systems, with an emphasis on protein and proteome structure, function, interaction, design, and evolution. His work has led to more than 115 publications in journals such as Science, Nature, PLoS Biology, the Proceedings of the National Academy of Sciences, and the Journal of the American Medical Association. Samudrala joined the University of Washington faculty in 2001 (where he remains an Affiliate Professor) after completing his doctoral research with John Moult at the Center for Advanced Research in Biotechnology in 1997, and his postdoctoral research with Michael Levitt (2013 Nobel in Chemistry) at Stanford University in 2000, which resulted in him making some of the best predictions at the first three community-wide assessment of protein structure prediction (CASP) experiments. In 2002, he received a Searle Scholar Award which funds exceptional young scientists, was named one of the world's top young innovators (TR100) by MIT Technology Review in 2003, and was selected to present the University of Washington New Investigator Science in Medicine Lecture in 2004.
Molecular and Population Genetics, Developmental Biology, Bacterial Physiology, Plant Structure Function and Systematics, Evolution, Developmental Biology, Chemistry of Nucleic Acids, Protein Chemistry and Enzymic Catalysis, Protein Structure and Function, Cell Biology, and Biophysics and Theoretical/Computational Biology.