Year: 2026
PIs: Ardavan Yazdanbakhsh (PI), Giles Hooker (co-PI), Rui Tuo (co-PI), Yiqiao Li (co-PI), Zhimei Ren (co-PI)
Sponsor: National Science Foundation, Division of Mathematical Sciences (Award No. 2538439)
Description: The Collaborative Research at the Intersection of Statistics and Engineering (CRSE) Program aims to provide supplementary mentorship to engineering Ph.D. students whose research involves the analysis of high-dimensional data, as well as to statistics Ph.D. students developing statistical methods applicable to engineering. The CRSE Workshop will include two main components: lectures on state-of-the-art methods in high-dimensional data analysis by distinguished experts, and research sessions in which Ph.D. students will present their projects, followed by discussions and feedback from participating experts and peers. A Program Director from the National Science Foundation will also share insights on funding opportunities and resources available to Ph.D. students and academic researchers.
The workshop will be held August 11–13, 2026 at the Wharton School, University of Pennsylvania, Philadelphia, PA.
Workshop objectives:
- Advance collaboration between statisticians and engineers
- Provide training and feedback opportunities for Ph.D. students
- Facilitate discussions on high-dimensional data analysis and its applications
Theme areas include: High-dimensional time series analysis, functional data analysis, regularization and sparse modeling, conformal prediction and uncertainty quantification, physics-informed machine learning, and engineering applications such as transportation data analysis, infrastructure demand forecasting, and autonomous systems.