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Jake’s research interests include high-dimensional statistics, empirical Bayes, multiple testing, and distribution-free inference. Jake is also interested in modeling incentives in data analysis. He has worked on real data problems in precision agriculture, personalization, online market behavior, microscopy, and astronomy. He is co-advised by Prof. Rina Foygel Barber and Prof. Rebecca Willett.

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