Maria Grith
Former Warren Center Postdoctoral Fellow
Maria Grith is currently an Assistant Professor at the Erasmus School of Economics. Her work is concerned with developing statistical methods to study dynamic high-dimensional data settings and relies on nonparametric and semiparametric approaches, as well as graphical models.
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Andreas Haeberlen
Associate Professor of Computer and Information Science
Andreas Haeberlen works on distributed systems, networking, and security. He is particularly interested in large-scale distributed systems that span multiple administrative domains, such as cloud computing platforms or the Internet’s interdomain routing system.
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Hamed Hassani
Assistant Professor of Electrical and Systems Engineering
Hamed Hassani’s fields of interest include machine learning, coding, and information theory, as well as the theory and applications of graphical models.
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Brett Hemenway Falk
Research Assistant Professor of Computer and Information Science
Brett Hemenway Falk’s research focuses on coding theory and cryptography, using mathematical tools to create secure and robust information systems. He has worked extensively on developing cryptographic tools that allow groups of stakeholders to coordinate while preserving their private data.
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Zachary Ives
Adani President's Distinguished Professor of Computer and Information Science
Zack Ives’ research interests include data integration and sharing, managing big data, sensor networks, and data provenance and authoritativeness. He works on next-generation techniques for searching the Web and databases, integrating data from sensors, and sharing data among different groups.
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Raghuram Iyengar
Professor of Marketing
Raghu Iyengar’s research interests fall in two domains: pricing and social influence. His current projects focus on the impact of multi-part pricing schemes on consumer response, the impact of referral coupons on consumer behavior, and how changes in loyalty programs change future customer behavior.
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Bhuvnesh Jain
Walter H. and Leonore C. Annenberg Professor in the Natural Sciences
Astronomy and cosmology have entered the era of Big Data science. Bhuvnesh Jain’s research focuses on extracting information from massive astronomical surveys, in particular the ongoing Dark Energy Survey. This work uses techniques at the interface of astronomy, computer science, and statistics.
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Shane Jensen
Associate Professor of Statistics
Shane T. Jensen’s research interests include applications in bioinformatics, bayesian multi-level modeling, statistical computing and MCMC methods, and statistics in sports.
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