Projects and Groups
Thomas J. Watson Research Center, Yorktown Heights, NY USA
Gustavo Stolovitzky received his M.Sc. in Physics (with honors) from the University of Buenos Aires, Argentina (1987) and his Ph.D. in Mechanical Engineering from Yale University (1994), which awarded him the Henry Prentiss Becton Prize for Excellence in Engineering and Applied Sciences. After a post-doctoral position in the Center for Studies in Physics and Biology at The Rockefeller University, he joined IBM Research in 1998, where he is a research staff member in the IBM Computational Biology Center and the manager of the IBM Functional Genomics and Systems Biology Group. He holds an adjunct Associate Professor position at Columbia University.
Gustavo has co-authored more than 100 scientific publications (on dynamical systems, fluid mechanics, statistical physics, probability theory, biophysics, computational biology and cancer biology) and is a co-inventor in 11 patents. He has edited two books and several special issues in different scientific journals. His work has been highlighted in The New York Times, The Economist, Technology Review, Scientific American (where his DNA transistor project was chosen as one of the 10 world changing ideas of 2010) and Nature Methods among other media.
Gustavo has been elected fellow of the NY Academy of Sciences, fellow of the American Physical Society, fellow of the American Association for the Advancement of Science, and fellow of the World Technology Network.
Gustavo has had an active role in organizing the systems biology community. He founded and leads the DREAM project, an international effort that nucleates thousands of participants to address important problems of validation of systems biology methods and models. He also co-organizes the RECOMB Systems and Regulatory Genomics and DREAM challenge conference series, which has nucleated more than a thousand attendees over the past 5 years.
His most recent scientific interests are in the field of high-throughput biological-data analysis, reverse engineering biological circuits, the mathematical modeling of biological processes and new generation technologies for DNA sequencing.