Dear Colleagues,
Greetings.
The Boston Chapter of the American Statistical Association (BCASA) invites you all to attend the 2024 Boston Pharmaceutical Statistics Symposium on Thursday, October 31 – Friday, November 1, 2024, at Sanofi, Cambridge Crossing - 450 Water St, Cambridge, MA.
Symposium Highlights:
- Keynote Speaker: Margaret Gamalo, VP and Statistics Head for Inflammation and Immunology at Pfizer, will deliver a talk on "Statistical Boom: Opportunities for a Statistician in an Era of Quantitative Medicines Development."
- Invited Talks: we have planned 4 very interesting and informative sessions: from "Recent Statistical Innovation in External Data Borrowing", "ML/AI-powered Clinical Development", "Advancing Clinical Trials: Digital Innovation, Advanced Modelling, and Pragmatic Approaches", to "Casual Inference to Advance Clinical Development".
- Poster Session and Lighting Talks: learn from and interact with colleagues on the latest trends in pharmaceutical statistics.
- Networking: don't miss out on this opportunity to network with experts in the field and industry colleagues!
- Two Short Courses: "Causal inference and AI/ML in deriving RWE from the analysis of RWD" & "AI/ML for Clinical Trials and Humanized AI for Future Healthcare" offer an opportunity to learn from a leading expert.
Visit our WEBSITE for more information.
All participants must register by Wednesday, October 23. The registration fee for the symposium covers a light breakfast, lunch, afternoon snacks, and symposium materials. The registration fee for the short course covers snacks and short course materials.
Register Here for Symposium Main Event (Day 2)!
Register Here for Short Courses (Day 1, In-Person)!
Register Here for Short Courses (Day 1, Virtual)!
Our speakers
Keynote speaker:
- Statistical Boom: Opportunities for a Statistician in an Era of Quantitative Medicines Development by Margaret Gamalo, Vice President and Statistics Head for Inflammation and Immunology, Global Product Development, Pfizer
Invited short course instructors:
- Causal inference and AI/ML in deriving RWE from the analysis of RWD by Yixin Fang, Director of Medical Affairs and Health Technology Assessment Statistics and a research fellow of AbbVie Community of Science, AbbVie
- AI/ML for Clinical Trials and Humanized AI for Future Healthcare by Mark Chang, Founder, Adjunct Professor, AGInception, Boston University
Invited speakers:
- Optimal Priors for the Discounting Parameter of the Normalized Power Prior by Joseph Ibrahim, Alumni Distinguished Professor of Biostatistics and the Director of the Biostatistics Core at Lineberger Comprehensive Cancer Center, UNC
- Predicting Probability of Success for Phase III Trials via Propensity-Score-Based External Data Borrowing by Veronica Bunn, Associate Director in Oncology statistics, Takeda
- AI-Generated R Functions Integrated with Proprietary Software for Clinical Trial Simulation by J. Kyle Wathen, Vice President, Scientific Strategy & Product Innovation, Cytel
- Driving Efficiency of Clinical Drug Supply Chains Management in Adaptive Clinical Trials by Zoe Hua, a director biostatistician at Servier Bio-Innovation in late stage clinical development for oncology therapies, Servier
- Using Digital Innovation in Clinical Trials: Function of Advanced Modelling and Data Science by Zhaoling Meng, Associate Vice President, Global Head of Clinical Modeling and Evidence Integration in Evidence Generation and Decision Science, R&D, Sanofi
- Pragmatic Clinical Trials: Future Directions and Design Considerations by Cynthia Hau, Statistician for the Veterans Affairs (VA) Cooperative Studies Program, Boston Coordinating Center
- Practical Steps Toward Model-informed Drug Development using Causal Diagrams by James Rogers, Vice President of Statistics in the Quantitative Sciences Business Unit, Metrum Research Group
- Combining information from multiple and diverse sources to answer causal questions by Issa Dahabreh, Associate Professor of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard
Our Sponsors
The Boston Chapter invites you to be a sponsor of the 2024 Boston Pharmaceutical Statistics Symposium.
Please contact Wenting Cheng (chengwt@umich.edu, Co-chair of the 2024 Boston Pharmaceutical Statistics Symposium, President of the Boston Chapter) and Zhaoyang Teng (zhaoyang.teng@servier.com, Co-chair of the 2024 Boston Pharmaceutical Statistics Symposium) if you have questions.
Thank you to our sponsors which have already been confirmed: Sanofi (Venue Sponsor); Novo Nordisk (Platinum Sponsor); BioPier, HopeAI (Silver Sponsor).
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Wenting Cheng
President, Boston Chapter of the ASA
Associate Director, Biostatistics, Biogen
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