Daniel Singer
Assistant Professor of Philosophy
Daniel J. Singer’s research is at the intersections of epistemology, ethics, and social philosophy. His work is motivated primarily by two questions: (1) how and why epistemic norms apply to us, and (2) how epistemic norms for groups differ from norms for individuals.
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Jonathan Smith
Olga and Alberico Pompa Professor of Computer and Information Science
Jonathan M. Smith’s research interests center around computer networking and computer security. He is developing network architectures for new services and applications, such as the Terabit Edge Research Activity, which is focused on the coupling between parallel processing and parallelism.
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Robert Stine
Professor of Statistics
Robert A. Stine’s most recent work concerns the use of information theory to understand and contrast various methods for selecting an optimal statistical model, with particular relevance to the selection of important modeling factors.
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Weijie Su
Assistant Professor of Statistics
Weijie Su's research interests are in high-dimensional statistics, statistical machine learning, deep learning theory, privacy-preserving data analysis, and large-scale multiple testing.
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Eduard Talamàs
Former Warren Center Postdoctoral Fellow
Eduard Talamàs is currently an Assistant Professor of Economics at the University of Navarra. His field of specialization is microeconomic theory. His most current work uses bargaining models to investigate how prices and allocations are determined in decentralized markets.
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Lyle Ungar
Professor of Computer and Information Science
Lyle Ungar’s current research focuses on developing scalable machine learning methods for data mining and text mining, including deep learning methods for NLP, and analysis of text and images in social media to better understand the drivers of physical and mental well-being.
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René Vidal
Rachleff University Professor of Radiology and Electrical and Systems Engineering
René Vidal's research focuses on the development of theory and algorithms for the analysis of complex high-dimensional datasets such as images, videos, time-series and biomedical data.
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Bo Waggoner
Former Warren Center Postdoctoral Fellow
Bo Waggoner is currently an Assistant Professor of Computer Science at the University of Colorado-Boulder. He is interested in theoretical CS, artificial intelligence, game theory, and the intersection of Economics and Computer Science.
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