Dr. Bruno Ribeiro
Ph.D. in Computer Science, May 2010, University of Massachusetts Amherst
Dissertation: “On the Design of Methods to Estimate Network Characteristics”
Advisor: Don Towsley
B.S. & M.S. in Informatics & Computer Engineering, March 2001, July 2003, Federal University of Rio de Janeiro
Bruno Ribeiro is an Assistant Professor of Computer Science at Purdue University, West Lafayette. Ribeiro’s current research focuses on data science and machine learning, more specifically, in analyzing and forecasting processes on complex networks, and performing approximate inference using Markov Chain Monte Carlo (MCMC) methods. Ribeiro recently won the SIGMETRICS’16 best paper award for his work on characterizing competitions with rich-get-richer effects using generalized Polya urn processes.