More than 24 years of experience in biopharmaceutical research and development with research interest in the areas of innovative trial design, data analysis, Bayesian analysis, multiregional clinical trials, data mining, machine learning and medical product safety evaluation; most recently focusing on sequential testing and monitoring of safety signals; over 30 publications in peer reviewed journals (and book chapters)
A Scientific Assistant Vice President at Merck Research Laboratories, Fellow of the ASA and AAAS, and founding editor of Statistics in Biopharmaceutical Research. He has more than 40 years of experience in pharmaceutical R&D with research interest in safety evaluation and health economics and has more than 70 publications in peer reviewed journals. He is an editor of Statistical Methods in Medical Research.
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Tse Leung LAI
Ray Lyman Wilbur Professor of Statistics and, by courtesy, of Health Research and Policy in the School of Medicine at Stanford University
Professor of Biomedical Data Science;Professor (By courtesy), Radiology - Rad/Molecular Imaging Program; Professor (By courtesy), Health Research & Policy at Stanford University
Following his PhD under Academy member Dr. Michael Grunstein from UCLA, Dr. Ling did a post-doc in molecular immunology under Dr. Alan Krensky at Stanford Medicine and simultaneously trained in computer science. Dr. Ling’s investigative interests are in translation medicine that bridge molecular biology and biomedical computation. Dr. Ling brings a great depth of experience and demonstrated success in using his computational skills to create both platforms and products with obvious translational utility. During his tenure at Stanford, Dr. Ling has been instrumental in creating the computational infrastructure to support diagnostic biomarker discovery and more recently in providing mechanism of disease insight. Dr. Ling has established a number of fertile collaborations both within the Stanford community as well as with other leading scientists in academia and industry.