- Dear Colleagues,
The Statistical Learning and Data Science section is pleased to announce the April webinar, presented by Dr. Qiqi Deng from Moderna. Hope to see you then!
Title: A Brief introduction for drug development and how biostatistician can contribute
Speakers: Dr. Qiqi Deng, Director in Clinical Biostatistics, Moderna
Date and Time: April 27, 2023, 1:00 to 2:30 pm Eastern Time
Registration Link: ASA SLDS Webinar Registration Link [eventbrite.com]
Abstract: The COVID-19 pandemic has highlighted the critical role of pharmaceutical and biotech companies in responding to global health crises. The incredible response by these industries in developing and distributing COVID-19 vaccines and treatments serves as a reminder of the importance of research and development in improving human health.
This presentation provides a high-level overview of the clinical development process for bringing a new treatment or vaccine to market, highlighting the critical role that biostatisticians play in this process. The presentation covers the different phases of drug development, mainly on phases 1, 2, and 3 clinical trials. Real drug examples across different therapeutic areas are used to illustrate the practical application of the clinical development process. Biostatisticians are shown to play a crucial role in trial design, implementation, and data analysis. Finally, there will be a Q&A session for working as biostatisticians in the pharmaceutical and biotech industries, including opportunities with drug companies, CROs, regulatory agencies, and academic institutions.
Presenter: Dr. Qiqi Deng is a Director in Clinical Biostatistics at Moderna. She leads a group focusing on clinical development of public health and latent virus vaccines, as well as translational medicine research and statistical research. Before joining Moderna, she worked in Boehringer Ingelheim for thirteen years, with seven years serving as leading statistician for multiple projects, across different clinical development phases and therapeutic areas. After that, she worked as a methodology statistician for six years, with focus on statistical methodology innovation globally. Her main research area includes hypothesis testing and modeling in dose finding, adaptive design, and pragmatic considerations in applying innovative methodology into real clinical studies. She publishes on wide array of statistical topics in her main area and beyond, e.g. multiplicity adjustment, Bayesian statistics. Dr. Deng received her bachelor's degree in Mathematics from Peking University in China, and obtained her Ph. D. in Statistics from University of Minnesota.
------------------------------
Zhihua Su, PhD
Associate Professor
Department of Statistics
University of Florida
zhihuasu@stat.ufl.edu
------------------------------