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Columbia University professor Bodhisattva Sen awarded medallion lecture in statistics
Sen is among four faculty members from Columbia chosen for this honor, recognized for their significant contributions to the field of mathematical statistics.
Bodhisattva Sen / Image- Columbia University
Columbia University’s Professor Bodhisattva Sen has been selected to deliver the distinguished Institute of Mathematical Statistics (IMS) Medallion Lecture in the summer of 2026.
Each year, the IMS Committee on Special Lectures invites eight individuals to deliver the Medallion Lectures, recognizing their substantial research contributions across various statistical fields. The selected Medallion Awardees and Lecturers are honored with a medallion in a brief ceremony preceding their lecture. This award highlights their prominent role in advancing statistical theory and practice.
Sen’s core research focuses on nonparametric statistics, large sample theory, and applications in areas such as astronomy. His notable work on shape-constrained estimation, likelihood-based inference, and optimal transportation methods has been highly regarded within the global statistics community.
Sen earned his bachelor’s and master’s degrees in statistics from the Indian Statistical Institute, Kolkata, before completing his Ph.D. at the University of Michigan in 2008. He joined Columbia University the same year and has since risen through the academic ranks, becoming a full professor in 2020. In 2022, he was elected a fellow of the Institute of Mathematical Statistics for his contributions to nonparametric inference and optimal transport.
Commenting on the recognition, Professor Tian Zheng, chair of Columbia’s Department of Statistics, stated, “The fact that four of the eight individuals chosen for the Medallion Lecture are from our department is a strong testament to the depth of research within our faculty. Bodhisattva’s work exemplifies the innovative spirit and intellectual rigor that drives our department’s contributions to various fields, from artificial intelligence to climate science.”
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