Job title：Director of Statistics (Bristol Myers Squibb，新藥開發)
Title：Professional Careers in Mathematics and Statistics.
茶會地點：Room 106, Department of Mathematics, NTNU
蔡高太，師大數學系62級系友。目前在Bristol Myers Squibb 工作，利用Machine Learning 協助新藥開發。剛出版了一本新書：Machine Learning for Knowledge Discovery with R, CRC Press 出版，2022。
Kao-Tai Tsai obtained his Ph.D. in Mathematical Statistics from University of California, San Diego and had worked at AT&T Bell Laboratories, the US FDA, and pharmaceutical companies focusing on drug discovery. He is active in statistical professional communities and had engaged in numerous invited lectures and short courses. He had served as President of the NJ chapter of the ASA, member of the Board of Directors of International Chinese Statistical Association. His research focuses on theory and applications of machine learning methodologies in clinical, genomic, and industrial research for knowledge discovery.