פייגין פאול דוד

University of Melbourne: BSc (Hons) 1972
Australian National University: PhD 1975, Statistics
Technion: Lecturer 1976, Senior Lecturer 1978, Associate Professor 1981, Professor 1988.
Technion Dean 1999-2002
Technion Senior Executive Vice President 2007-2013
Director of Israel Data Science and AI Initiative 2020 –

Professor Emeritus Paul Feigin joined the Faculty of Industrial Engineering and Management in 1976, after completing his Ph.D at the Australian National University in 1975.
Prof. Feigin’s research covers three main areas: inference for stochastic processes, modern methods of forecasting and data-mining, and design and analysis of experiments. He is an authority on the statistical design of clinical studies and worked on methods for the analysis of genomic studies. His research projects range from the statistical analysis of genetic association studies to the analysis of customer patience in call centers. He is an elected fellow of the Institute of Mathematical Statistics and of the International Statistical Institute
Before retirement, he held the Gruenblat Chair in Production Engineering. Together with the late Prof. Ayala Cohen, he established the Technion Statistical Laboratory, which he continues to manage and which provides statistical consulting services to academic and industrial clients.
Alongside his academic activity he accumulated extensive experience in industry. He has worked for Teva Pharmaceuticals as a statistical consultant, and served as the scientific director of TechnoSTAT Ltd.
Prof. Feigin served as the Senior Vice President of the Technion (2007-13), Technion’s Vice President for Strategic Projects 2013-16, and Assistant to the Technion President for Strategic Projects 2016-2019. He served as Dean of The William Davidson Faculty of Industrial Engineering and Management (now the Faculty of Data and Decision Sciences) from 1999–2002.
Prof. Feigin currently serves as the Director of the Israel Data Science and AI Initiative (IDSAI), an umbrella organization for the Data Science (DS) and AI research centers established by the Council of Higher Education in seven of Israel’s research universities. In this role he leads efforts to promote DS and AI activities across Israeli institutions including encouraging international, industrial and interdisciplinary collaborations relevant to DS and AI methodologies.