Keynote 1 - Thursday, April 10, 2025
Chair: TBD (Duke University)
Vice Chair: TBD (TBD)
Title: TBD
Speaker:
Gregory Alexander, PhD (FDA)
Biostatistics Division Director
Keynote Abstract:
To be available soon.
Gregory Alexander Bio to be available soon.
Keynote 2 - Friday, April 11, 2025
Chair: Hong Tian (Beigen)
Vice Chair: TBD (TBD)
Title: TBD
Speaker:
Haoda Fu, PhD (Amgen)
Head of the Exploratory Biostatistics, CfDA
Keynote Abstract:
To be available soon.
Dr. Haoda Fu is Head of Exploratory Biostatistics in Amgen, before that he was an Associate Vice President and an Enterprise Lead for Machine Learning, Artificial Intelli-gence, from Eli Lilly and Company. Dr. Haoda Fu is a Fellow of ASA (American Statistical Association), and IMS Fellow (Institute of Mathematical Statistics). He is also an adjunct professor of biostatistics department, Univ. of North Carolina Chapel Hill and Indiana university School of Medicine. Dr. Fu received his Ph.D. in statistics from University of Wisconsin – Madison in 2007 and joined Lilly after that. Since he joined Lilly, he is very active in statistics and data science methodology research. He has more than 100 publi-cations in the areas, such as Bayesian adaptive design, survival analysis, recurrent event modeling, personalized medicine, indirect and mixed treatment comparison, joint modeling, Bayesian decision making, and rare events analysis. In recent years, his research area focuses on machine learning and artificial intelligence. His research has been published in various top journals including JASA, JRSS-B, Biometrika, Biometrics, ACM, IEEE, JAMA, An-nals of Internal Medicine etc.. He has been teaching topics of machine learning and AI in large industry conferences including teaching this topic in FDA workshop. He was board of directors for statistics organizations and program chairs, committee chairs such as ICSA, ENAR, and ASA Biopharm session. He is a COPSS Snedecor Awards committee member from 2022-2026, and also served as an associate editor for JASA theory and method from 2023, and JASA application and case study from 2025-2027