Haoda Fu PhD

Dr. Haoda Fu is a Fellow of the American Statistical Association. He is also an adjunct professor of biostatistics at the Indiana University School of Medicine. Dr. Fu received his PhD in statistics from the University of Wisconsin-Madison in 2007 and joined Eli Lilly after that. Since then, Dr. Fu is very active in statistics methodology research. He has published more than 90 articles in peer-reviewed journals in multiple areas, including 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 has focused on machine learning and artificial intelligence. His research has been published in various top journals including JASA, JRSS, Biometrics, ACM, IEEE, JAMA, Annals of Internal Medicine, etc. He regularly teaches topics of machine learning and AI in large industry conferences, including a recent FDA workshop. He has served on the board of directors for statistics organizations, including program chairs and committee chairs for the ICSA, ENAR, and ASA Biopharmaceutical sessions.