Short Course Speakers

John Buonaccorsi JohnB

John Buonaccorsi is Professor Emeritus in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst. He received his Ph.D. from Colorado State University in Statistics in 1982 and has been at the University of Massachusetts since then. He was a member of University’s Statistical Consulting Center for twenty years and coordinated the graduate options in Statistics for many years. He is the author of over 70 articles and book chapters and is author of the the recently published “Measurement Error: Models, Methods and Applications”, part of the Chapman-Hall series on interdisciplinary statistics. His original research interests were in optimal experimental design, estimation of ratios and calibration, followed by a focus on measurement error, an area he has worked in for over 25 years. He has also published extensively on statistical methods in ecology, with a recent emphasis on population dynamics, and has a long-standing collaboration working on measurement error methods in epidemiology with colleagues at the University of Oslo Medical School.

Charles Liu CharlesLiu

Charles Liu is a statistician and product manager at Cytel. He is involved in the development, testing, and support of Cytel’s clinical trial design products. He has a research background in Psychology, Neuroscience, and Biostatistics, especially in Bayesian methods. Charles earned a Masters in Biostatistics from Monash University, and a PhD in Neuroscience from the University of Melbourne.

Han Liu Han Picture

Han Liu, Ph.D. is an assistant Professor of Statistics and Machine Learning in the Department of Operations Research and Financial Engineering at the Princeton University. In 2011, he received a joint a PhD in Statistics and Machine Learning from the Machine Learning department at the Carnegie Mellon University. Dr. Liu’s research interests include high dimensional nonparametric and semiparametric inference, graphical models, and large-scale statistical optimization. He is serving as an associate editor of the Electronic Journal of Statistics. Dr. Liu was also a long term research fellow in the Simons Institute at UC Berkeley on the program of theoretical foundations of Big Data analysis.

Dr. Liu’s research has won numerous awards. His Ph.D. dissertation on high dimensional nonparametric learning has won the Umesh Gavasakar Memorial Best Dissertation Award from Carnegie Mellon University. His work on high dimensional multivariate time series has won the notable paper award in the 16th International Conference on Artificial Intelligence and Statistics. His work on statistical computing has won the best overall paper award honorable mention in the 26th International Conference on Machine Learning. From 2009-2011, he was awarded the Google PhD fellowship in Statistics. Collaborating with Brian Caffo, his research on high dimensional brain imaging classification has won the ADHD-200 global competition on developing imaging-based psychiatric diagnosis protocol. In 2012, Dr. Liu also won a teaching excellence award from the Johns Hopkins University.

Cyrus Mehta Cyrus_6403

Cyrus Mehta was born in Bombay, India. He studied engineering at the Indian Institute of Technology, Bombay and obtained his Ph.D. in Operations Research from MIT. Dr. Mehta is President and co-founder of Cytel Corporation and Adjunct Professor of Biostatistics, Harvard University. Cytel is a leading provider of software and services for the design, interim monitoring and implementation of adaptive clinical trials. Dr. Mehta consults extensively with the biopharmaceutical industry on group sequential and adaptive design, offers workshops on these topics, and serves on data monitoring and steering committees for trials in many therapeutic areas. He has led the development of the StatXact, LogXact and East software packages that are widely used in the biopharmaceutical industry and at academic research centers. He publishes his methodological research in leading statistics journals and is a past co-winner of the George W. Snedecor Award from the American Statistical Association for the best paper in biometry. He is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. He was named Mosteller Statistician of the Year by the Massachusetts Chapter of the American Statistical Association in 2000, and Outstanding Zoroastrian Entrepreneur by the World Zoroastrian Chamber of Commerce in 2002.