Please feel free to share your ideas for this series or contact Dr. Erin Lake.
Joint event with the BDIG (Biostatistics Diversity and Inclusion Group)
Dionne PricePresident, American Statistical Association (ASA) and Deputy Director, Office of Biostatistics, U.S. Food and Drug Administration, FDAMonday, April 24 | 1:00-2:00pm ET | FXB G11 – Hybrid with Zoomlunch will be servedAll department members are welcome. Please register here.
Dr. Price is the new President of the American Statistical Association (ASA), and Deputy Director, Office of Biostatistics at the U.S. Food and Drug Administration (FDA) where she has worked for 21 years (Office of Translational Sciences, Center for Drug Evaluation and Research). She is a mathematical statistician with research interests in the design and analysis of clinical trials, and she leads cross-cutting, collaborative efforts across FDA to advance and facilitate the use of complex innovative trial designs (CID) in pharmaceutical drug development. CID may include the use of adaptive, Bayesian, and other novel statistical approaches to advance drug development and inform regulatory decision-making (often where traditional clinical trial methodology may not be feasible such as in rare disease or some pediatric indications), and Dr. Price has been involved in the oversight of the FDA’s recent CID pilot program. Dr. Price’s effective communication, technical expertise, and keen understanding of regulatory policy have resulted in her representing the FDA on novel statistical issues both domestically and internationally. We are thrilled to host Dr. Price and are looking forward to her visit!
Looking Ahead:
Visit with team of Statisticians and Computational Biologists at GSK (GlaxoSmithKline)
Tuesday April 25 | 1:00-2:00pm ET
All department members are welcome!
(Joint with the doctoral Consulting Course) – Consulting and Industry Panel
Tuesday April 25 | 2:00-3:00pm EST
Dr. Mei Sheng Duh, Analysis Group | Statisticians from GSK
(Open only to PhD students as part of the consulting course – can be enrolled or not)
