#  Colloquium Series: Zhimei Ren 

 



####  calendar\_today Date and Time 

 **October 5, 2026** 

 12:00PM - 01:00PM EDT 

 



 

Our upcoming event for the Statistics Colloquium Series is scheduled for Monday, October 5th from 12:00 – 1:00pm (ET) and will be an in-person presentation at Maxwell-Dworkin, Room 119. Lunch will be provided to guests following the talk. This week's speaker will be Zhimei Ren of **Assistant professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania**.

**Adaptive experimental design for multiple testing**

**Abstract:** I will talk about adaptive experimental design for multiple testing, where an experimenter sequentially chooses which hypothesis to sample. We propose the e-value-based posterior sampling (e-PS) procedure, which uses the empirical average of log e-value increments to guide randomized sampling and applies e-BH to construct rejection sets. Under conditionally valid e-value increments, the procedure controls the false discovery rate at arbitrary stopping times and produces nested rejection sets. We establish high-probability bounds on the number of samples needed to discover all nonnull hypotheses in terms of the growth and concentration of the underlying e-processes. We specialize these bounds to simple-versus-simple, composite-versus-simple, and simple-versus-composite testing. Simulations and experiments illustrate the procedure’s power under limited sampling budgets.

  
**Speakers Bio:** Zhimei Ren is an assistant professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania. From 2021-2023, she was a postdoctoral researcher in the Statistics Department at the University of Chicago. She obtained her Ph.D. in Statistics from Stanford University in 2021. Her research interests include selective inference, distribution-free inference, and data-driven decision making.



 

 



 

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