Bimal Desai
Associate Professor Of Clinical Pediatrics
Bimal Desai’s research makes use of rich clinical and administrative datasets derived from the electronic health record. Applications are diverse and include information privacy, clinical workflow analysis, and clinical decision support.
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Travis Dick
Former Warren Center Postdoctoral Fellow
Travis Dick is currently a research scientist at Google. He is interested in building on the theory and practice of Machine Learning to accommodate several modern requirements of learning systems.
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Francis Diebold
Paul F. Miller, Jr. and E. Warren Shafer Miller Professor of Social Sciences, and Professor of Economics, Finance and Statistics
Frank Diebold’s research interests focus on descriptive and predictive modeling in time-series contexts, with emphasis on financial markets and the macroeconomy. He has published extensively in econometrics, forecasting, finance and macroeconomics.
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Francis DiTraglia
Former Faculty Affiliate
Francis DiTraglia is currently an Applied Econometrician, an Associate Professor of Economics at the University of Oxford, a Tutor and Fellow in Economics at Lady Margaret Hall, and a visiting researcher at the Federal Reserve Bank of Chicago.
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Ezekiel Dixon-Román
Former Faculty Affiliate
Ezekiel Dixon-Román is currently a Professor of Critical Race, Media, and Educational Studies at Columbia University. His research rethinks and reconceptualizes the technologies of quantification from a critical theoretical lens (broadly conceived).
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Edgar Dobriban
Associate Professor of Statistics and Data Science
Edgar Dobriban's two main research interests are the efficient analysis of “big data” using advanced tools, such as those from random matrix theory, and the theoretical analysis of modern machine learning, including deep learning.
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Cyrille Doux
Former Warren Center Postdoctoral Fellow
Cyrille Doux is currently a Research Scientist at CNRS - Centre national de la recherche scientifique in France. He mainly works in the field of observational cosmology, with an interest in multi-probe analysis.
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Charles Epstein
Thomas A. Scott Professor of Mathematics, Emeritus
Charles Epstein is interested in partial differential equations, Maxwell’s equations, population genetics, medical imaging, several complex variables, microlocal analysis and index theory, and numerical analysis.
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