Ryan Rossi is a machine learning scientist at Adobe Research in San Jose, CA. His research lies in the fields of machine learning; and spans theory, algorithms, and applications of large complex relational (network/graph) data from social and physical phenomena. Before joining Adobe Research, he had the opportunity to work at a number of industrial, government, and academic research labs including Palo Alto Research Center (Xerox PARC), Lawrence Livermore National Laboratory (LLNL), Naval Research Laboratory (NRL), NASA Jet Propulsion Laboratory (JPL)/California Institute of Technology, University of Massachusetts Amherst, among others. Ryan earned his Ph.D. and M.S. in Computer Science at Purdue University. He was a recipient of the National Science Foundation Graduate Research Fellowship (NSF GRFP), National Defense Science and Engineering Graduate Fellowship (NDSEG), the Purdue Frederick N. Andrews Fellowship, and Bilsland Dissertation Fellowship awarded to Outstanding Ph.D. candidates.
His publications are available here and on his personal site.