June 10–11 | Boston, MA

 

2024 Annual Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine

Generative AI in Medical Research & Drug Development: Hype or Reality?

 

About the Symposium

Where will the AI revolution take pharmaceutical science?

The Symposium on Risks and Opportunities of Artificial Intelligence in Pharmaceutical Medicine (AIPM), co-sponsored by Pfizer Inc, Northeastern University and the American Statistical Association (ASA), is intended to provide a forum for major stakeholders to have a dialogue on pertinent issues that have policy implications for proper implementation of this emerging technology.
 
This event is designed to serve as a platform for:
  • Statisticians, data scientists, regulators, and other professionals to address the challenges and opportunities of AI in pharmaceutical medicine.
  • Fostering collaboration among industry, academia, regulatory agencies, and professional associations.
  • Discussing policy implications for proper implementation of AI in promoting public health.

Date:

June 10-11, 2024

 

Location:

Northeastern University, Boston Campus

 

Day 1:

Tutorials

East Village Building, 17th floor
291 St. Botolph Street, Boston, MA 02115

 

Day 2:

Meeting, Program

Interdisciplinary Science and Engineering Complex (ISEC)
805 Columbus Ave, Boston, MA 02120

Reception

EXP Building
815 Columbus Ave, Boston, MA 02120

Social Asset

Hotel:

Colonnade Hotel
120 Huntington Ave, Boston, MA 02116

 

 

 

Keynote Speaker

Patrizia
Cavazzoni, M.D.

Director
Center for Drug Evaluation and Research (CDER)
U.S. Food and Drug Administration

Co-Chairs

David
Madigan, Ph.D.

Provost and Senior Vice President Academic Affairs
Northeastern University

Demissie Alemayehu, Ph.D.

Vice President
Head, Statistical Research & Data Science Center
Pfizer Inc.

Steering Committee

Asieh
Golozar, Ph.D.

Vice President
Global Head of Data Science
Odysseus Data Services, Inc.

Kannan Natarajan, Ph.D.

Senior Vice President
Head of Global Biometrics and Data Management
Pfizer Inc.

Ron Wasserstein, Ph.D.

Executive Director
American Statistical Association

Speakers

Robert
Ball, M.D., M.P.H., Sc.M

Deputy Director
Center for Drug Evaluation and Research (CDER)
U.S. Food and Drug Administration

Noam
Barda, M.D., Ph.D.

Head, RWE and Innovation Lab
Chief Epidemiologist
Sheba Pandemic Research Readiness Institute

BIO

Brian
Caffo, Ph.D.

Professor
Department of Biostatistics
Johns Hopkins University

BIO

Qingxia (Cindy)
Chen, Ph.D.

Professor
Biostats, Bio Med Informatics,
Ophthalmology & Visual Sciences
Vanderbilt University Medical Center

BIO

Lauren Elizabeth
Eyler Dang, M.D., Ph.D., M.P.H.

Mathematical Statistician
National Institute of Allergy and Infectious Diseases (NIAID)

BIO

Margaret Gamalo, Ph.D., FASA

Vice President
Statistics Head, Inflammation & Immunology
Pfizer Inc.

Emre
Kiciman, Ph.D.

Senior Principle Researcher
Microsoft Research

Junshui
Ma, Ph.D.

Associate Vice President
Head, Biometrics Research
Merck

BIO

Subha
Madhavan, Ph.D.

Vice President
Head, AI/ML and Quantitative Digital Sciences
Pfizer Inc.

BIO

Anthony Philippakis, M.D., Ph.D.

Chief Data Officer
Broad Institute of MIT and Harvard
Co-Director, Eric & Wendy Schmidt Center

BIO

Hoifung
Poon, Ph.D.

General Manager
Microsoft Health Futures

BIO

Pranav
Rajpurkar, Ph.D.

Assistant Professor
Harvard University

BIO

Omer
Reingold, Ph.D.

Professor
Computer Science
Stanford University

David
Sontag, Ph.D.

Professor
Electrical Engineering and Computer Science
MIT

BIO

Marc Adam Suchard, Ph.D.

Professor
Biomathematics & Human Genetics
David Geffen School of Medicine
Department of Biostatistics
UCLA Fielding School of Public Health

BIO

Stefan
Wagner, Ph.D.

Associate Professor
Operations, Information and Technology
Stanford University

Yuanjia
Wang, Ph.D.

Professor
Biostatistics and Psychiatry
Columbia University

Alex Zhavoronkoff, Ph.D.

CEO
Insilico Medicine

BIO

Bingzhi
Zhang, Ph.D.

Director
Statistical Innovation Hub
Sanofi

Tutorial Instructors, Poster Coordinators

Haoda
Fu, Ph.D.

Associate Vice President
Enterprise Lead, ML/AI
Eli Lilly and Company

Susan
Gruber, Ph.D., M.P.H., M.S.

Co-Founder TL Revolution
Founder of Putnam Data Sciences

Nareen
Katta, M.B.A, M.S.

Head, Data Science & Analytics
AbbVie

Hana
Lee, Ph.D., M.S.

Senior Staff Fellow
U.S. Food and Drug Administration

Claire
Zhao, Ph.D.

Associate Director
Group Head, Quantitative & Digital Sciences
Pfizer Inc.

Javier Cabrera, Ph.D.

Professor
Department of Statistics, Department of Medicine
Rutgers University

Louisa H. Smith, Ph.D.

Assistant Professor
Department of Health Sciences
Northeastern University

Poster Contributors

Ge Chen, Rutgers University
Mahan Dastgiri, Rutgers University
Yajie Duan, Rutgers University

Contact Information

 For program-related queries, please reach out to:

David Madigan (d.madigan@northeastern.edu)
Demissie Alemayehu (demissie.alemayehu@pfizer.com)

For all other inquiries, please contact AIPM@northeastern.edu