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Jay Bartroff joined the faculty of Statistics and Data Sciences at the University of Texas at Austin in January 2022. Previously, he served as Professor and Vice-Chair of the Department of Mathematics at the University of Southern California. His research interests encompass methods for the analysis of sequential streaming data, large-scale multiple testing, Stein's method, optimal experimental design, and pharmacokinetics/pharmacodynamics, with applications in biomedical fields such as clinical trial design and wearable alcohol biosensors. His research has been supported by prominent institutions including the National Science Foundation (NSF), National Institutes of Health (NIH), Food and Drug Administration (FDA), and the National Security Agency (NSA). Jay has authored numerous peer-reviewed publications in esteemed journals like the Annals of Statistics, Bernoulli, Biometrics, Statistical Science, and Statistica Sinica. He also authored a textbook on sequential methods published by Springer. Jay is passionate about providing engaging education at both the undergraduate and graduate levels and has received awards for his teaching and grants for developing innovative pedagogical methods.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.