Cynthia Rudin is an Associate Professor of Statistics at the MIT Sloan School of Management in Operations Research and Statistics.
She works on machine learning and knowledge discovery problems relating to data-driven prioritization. Previously Rudin was an associate research scientist at the Center for Computational Learning Systems at Columbia University, and prior to that, an NSF postdoctoral research fellow at NYU.
Her most recent awards include the NSF CAREER Award, a Solomon Buchsbaum Research Fund grant, and a best poster award at the International Conference on Machine Learning and Applications. Her work has been featured in articles appearing in IEEE Computer, Businessweek, ScienceNews, WIRED Science, U.S. News and World Report, Slashdot, Discovery Channel / Discovery News, CIO Magazine, and Energy Daily.
Rudin holds an undergraduate degree from the University at Buffalo, and received a PhD in applied and computational mathematics from Princeton University in 2004.
Web Site: http://web.mit.edu/rudin/www/main.html
General Expertise: Algorithms; Algorithms; Algorithms; Analytics; Applied math; Artificial intelligence; Artificial intelligence; Bayesian statistics; Big data; Business intelligence; Business intelligence; Data analysis; Data analytics; Data mining; Data mining; Data mining; Data mining; Decision making; Decision support; Electricity; Machine learning; Medical decision making; Predictive analytics; Predictive analytics; Probability; Sports analytics; Statistics; Statistics
For more background on this faculty member's research and academic initiatives, please visit the MIT Sloan faculty directory.