PhD Advisees (for whom I was primary advisor) Lijia Wang (co-advised) Graduated USC 2023. Thesis: Statistical citation network analysis and asymmetric error controls. First position: Assistant Professor at City University of Hong Kong, School of Data Science Julian Aronowitz Graduated USC 2020. Thesis: Finite sample bounds in group sequential analysis via Stein's method. First position: Statistician at Palo Alto Networks Current position: Data Scientist at Google Xinrui He Graduated USC 2019. Thesis: Asymptotically optimal sequential multiple testing with (or without) prior information on the number of signals. First position: Statistician at Acumen LLC/The SPHERE Institute Current position: Data Scientist at Google Mike Hankin Graduated USC 2017. Thesis: Sequential testing of multiple hypotheses with FDR control. First position: Statistical Data Scientist at Google Current position: Principal Data Scientist and Statistician at VideoAmp Jinlin Song Graduated USC 2013. Thesis: Sequential testing of multiple hypotheses. First position: Statistician at The Analysis Group My/our math genealogy can be found here. Classes Recently Taught at UT Fall 2023 SDS 431 - Probability and Statistical Inference Upper division introduction to probability and statistical inference for SDS majors. Examine events and random experiments; basic rules of probability; joint, conditional, and marginal probability and independence; discrete and continuous random variables; random sampling and estimation; large-sample theory results and central limit theorem-based inferential summaries; and maximum likelihood estimation. Fall 2022 SDS 301 - Elementary Statistical Methods Lower division introductory statistics course for a broad audience. Covers the fundamental procedures for data organization and analysis. Subjects include frequency distributions, graphical presentation, sampling, experimental design, inference, and regression. back