Dr. Haoda Fu is an Associate Vice President and an Enterprise Lead for Machine Learn
ing, Artificial Intelligence, a
nd Digital Connected Care 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 re
ceived 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
r
esearch. He has more than 100 publications in the areas, such as Bayesian adaptive de
sign, 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, Biometrika, Bio
metrics, ACM, IEEE, JAMA, Annals 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, com
