New England Statistical Symposium

The New England Statistics Symposium is an annual conference that moves throughout the region. Short courses, break-out groups, poster sessions and keynote addresses are spread over two days. The New England Statistical Society (NESS) is a non-profit organization which is organized and operated for educational, charitable, and scientific purposes only. They strive to promote the growth and expansion of statistical science in the New England area and beyond.

The Yale School of Public Health is proud to be hosting this year's symposium as a joint effort with the Department of Statistics & Data Science and Yale Faculty of Arts and Sciences.

Conference Dates and Location: June 2-June 3, 2025, New Haven, CT

• May 31 and June 1: short courses (online)
• June 2 and 3: main meeting and other activities
• Venue: Omni New Haven Hotel at Yale

If you want to book the Omni New Haven Hotel, please click here: Omni New Haven Hotel at Yale.

Timeline / Important Dates

• Registration Open: March 25, 2025
• Invited Session Proposal Deadline: April 15, 2025
• Notification of Invited Session Proposal Acceptance: April 20, 2025
• Abstract Submission Open: May 1, 2025
• Student Research Awards Submission Deadline: May 1, 2025
• Student Poster Awards Submission Deadline: May 1, 2025

Registration

Registration for in-person participation closes on May 6, 2025, and registration for virtual participation closes on May 13, 2025.

Registration for the banquet will close once capacity is reached.

Speaker | Keynote Presentation

Heping Zhang, Ph.D. is Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center, Professor of Statistics and Data Science, and Professor of Obstetrics, Gynecology, and Reproductive Sciences, Yale University. He directs the Collaborative Center for Statistics in Science that coordinates clinical trials to evaluate treatment effectiveness for infertility. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Award and Lecturer by the Institute of Mathematical Statistics. He is a former-editor of the Journal of the American Statistical Association - Applications and Case Studies. He was the recipient of the 2022 Neyman Award and Lecture by the Institute of Mathematical Statistics and the 2023 Distinguished Achievement Award by the International Chinese Statistical Association. He was selected as a 2023 Highly Cited Researcher in cross field by Web of Science. His research interests are to develop and apply statistical methods in biomedical research including epidemiology, genetics, mental health, cognition, and reproductive medicine.

Co-Chair | Organizing Committee