Ryan Rossi's research lies in the fields of machine learning and data mining; and spans theory, algorithms, and applications of large complex relational (network/graph) data from social and physical phenomena. Before joining PARC, Dr. Rossi worked at a number of industrial, government, and academic research labs including Lawrence Livermore National Laboratory (LLNL), Naval Research Laboratory (NRL), NASA Jet Propulsion Laboratory (JPL)/California Institute of Technology, University of Massachusetts Amherst, among others.
Dr. Rossi earned his Ph.D. and M.S. in Computer Science at Purdue University. His dissertation work focused on relational machine learning and mining of dynamic network data. Ryan is a recipient of the National Science Foundation Graduate Research Fellowship (NSF GRFP), National Defense Science and Engineering Graduate Fellowship (NDSEG), Purdue Frederick N. Andrews Fellowship, as well as two Purdue Fellowships including the Bilsland Dissertation Fellowship awarded to outstanding Ph.D. candidates. He has authored numerous papers at top conferences and journals as well as a number of patents. He has also authored the network repository project, the first data repository with interactive visual graph analytics to help researchers find, explore, and understand graph data in real-time over the web.
events view all
Relational Similarity Machines
14 August 2016
Toward Interactive Relational Learning
12 February 2016 | Phoenix, AZ