Jay Bartroff joined the Statistics and Data Sciences faculty in January 2022. Previously, he was a Professor of Mathematics and the Vice-Chair for Statistics at the University of Southern California. His research interests include methods for the analysis of sequential or streaming data, large-scale multiple testing, Stein's method, optimal experimental design, pharmacokinetics/pharmacodynamics, and a variety of biomedical applications including clinical trial design and methods for wearable alcohol biosensors. Jay's research has been supported by the National Science Foundation, National Institutes of Health, Food and Drug Administration, and the National Security Agency. He has authored peer-reviewed publications in journals including Annals of Statistics, Bernoulli, Biometrics, Statistical Science, and Statistica Sinica, and is the author of a textbook on sequential methods published by Springer. Jay is also passionate about providing engaging undergraduate and graduate education, and has won awards for his teaching and grants for developing pedagogical methods.
Fields of Interest
- Sequential Analysis
- Multiple Testing
- Ph.D. in Mathematics, Caltech, 2004