June 9-10 | Ocean Gateway, Portland, ME
2025 Annual Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine
Accelerating Drug Development Through Responsible AI
About the Symposium
Where will the AI revolution take Pharmaceutical Science?
The Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine is an event jointly sponsored by Pfizer Inc., the Roux Institute at Northeastern University and the American Statistical Association (ASA).
This event serves as a platform for distinguished statisticians, data scientists, regulators, and other professionals to address the challenges and opportunities of AI in pharmaceutical medicine; to foster collaboration among industry, academia, regulatory agencies, and professional associations; and to propose recommendations with policy implications for proper implementation of AI in promoting public health.
Key Details
Conference Co-Chairs
Demissie Alemayehu, Pfizer Inc.
David Madigan, Northeastern University
Date & Time
June 9-10, 2025
Day 1: 11:30 am-5:45 pm EDT
Day 2: 7:00 am-8:00 pm EDT
Location
Ocean Gateway
14 Ocean Gateway Pier
Portland, Maine 04101
Contact Us
For program-related queries, please reach out to:
Demissie Alemayehu demissie.alemayehu@pfizer.com
David Madigan office_of_the_provost@northeastern.edu
For all other inquiries, please contact: aipm@northeastern.edu
Speakers and Panelists
Charmaine Demanuele, Ph.D., Executive Director, Pfizer Inc.
Tala H. Fakhouri, Ph.D., MPH, Associate Director for Policy Analysis, Food and Drug Administration
Usama Fayyad, Ph.D., Executive Director of the Institute of Experiential Artificial Intelligence, Northeastern University
Andy Houseman, Ph.D., Senior Project Leader / Director, Statistical Innovation Hub, Sanofi
Tommaso Mansi, Ph.D., VP of AI/ML and Digital Health, The Janssen Pharmaceutical Companies of Johnson & Johnson
Scott McClain, Ph.D., Principal Industry Consultant, SAS Life Sciences
Annie Qu, Ph.D, Chancellor’s Professor, University of California, Irvine
Aaditya Ramdas, Ph.D., Associate Professor, Department of Statistics & Data Science, Carnegie Mellon University
Malaikannan Sankarasubbu, Chief Technology and AI Officer, SAAMA Technologies
Suchi Saria, Ph.D., John C. Malone Associate Professor of Computer Science at the Whiting School of Engineering and of Statistics and Health Policy at the Bloomberg School of Public Health, John Hopkins University
Mark Van Der Laan, Ph.D., Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California, Berkeley
Ajay Yekkirala, Ph.D., Co-Founder and SVP, Head of Discovery, Superluminal
Explore photos from the 2024 AIPM Symposium. Click on a photo below to expand it.
