Lectures and Addresses
Yuetian Luo is currently a postdoctoral scholar in the Data Science Institute at the University of Chicago. He received his PhD in Statistics from the University of Wisconsin–Madison in 2022, advised by Anru Zhang. He is broadly interested in methodology, computation, and theory in complex and large-scale statistical inference problems.…
Tudor Manole is a fifth-year PhD candidate in the Department of Statistics and Data Science at Carnegie Mellon University (CMU), jointly advised by Sivaraman Balakrishnan and Larry Wasserman. Before moving to CMU, he completed a BSc in Mathematics at McGill University. He is broadly interested in nonparametric statistics and statistical…
Yaqi Duan is a postdoctoral researcher at the Laboratory for Information & Decision Systems at Massachusetts Institute of Technology, working with Professor Martin J. Wainwright. Her research interests lie broadly in the intersection of statistics and machine learning, in particular data-driven sequential decision making and reinforcement learning. In fall 2023,…
We are pleased to announce the following members have been selected to receive the 2022 IMS Lawrence D. Brown PhD Student Award: Yaqi Duan, Yuetian Luo, and Tudor Manole. The award will fund their travel to next year’s IMS Annual Meeting, which takes place at JSM Toronto (August 5–10, 2023).…
Next year there will be an impressive list of invited speakers at a range of IMS sponsored and co-sponsored meetings.
Jian Ding will give a Medallion Lecture at the Seminar on Stochastic Processes (University of Arizona, March 8–11).
Hongyu Zhao’s Medallion Lecture will be at the ENAR/IMS Spring Meeting (Nashville,…