Dr. Fabrizio Ruggeri is Research Director at CNR-IMATI (National Research Council – Institute of Applied Mathematics and Information Technology), Milano, Italy,  Adjunct Professor at QUT, Brisbane, Australia, and faculty in Ph.D. programs (Mathematics, Pavia-Milano Bicocca, Italy, and Statistics, Valparaiso, Chile). His main research interests are Bayesian and industrial statistics. He is Vice President of the International Statistical Institute (ISI), former President of the European Network for Business and Industrial Statistics (ENBIS) and the International Society for Bayesian Analysis (ISBA), and President of the International Society for Business and Industrial Statistics (ISBIS). He authored over 100 articles and 5 books. He is Editor-in-Chief of Applied Stochastic Models in Business and Industry and Wiley StatsRef.  He is Fellow of ISBA and American Statistical Association (ASA), Honorary Member of ENBIS and Zellner Medal’s recipient.

Dr. Nalini Ravishanker is professor in the Department of Statistics at the University of Connecticut (UConn), Storrs. Her current research interests include time series and times-to-events analysis, Bayesian dynamic modeling, signal processing, and predictive inference. Her primary interdisciplinary research involves problems in finance, marketing, and transportation engineering. She has an undergraduate degree in statistics from Presidency College, Chennai, India, and a PhD in statistics and operations research from the Stern School of Business, New York University. She has over 100 publications, has co-authored a textbook A First Course in Linear Model Theory, and is co-editor of the Handbook of Discrete-Valued Time Series, both published byChapman & Hall/CRC. She is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, and an elected member of the CT Academy of Science and Engineering. She served as President of the International Society for Business and Industrial Statistics (ISBIS) 2017-2019 and as the VP for Education Outreach for the New England Statistics Society (NESS) 2017-2020. She has served as the theory and methods editor of Applied Stochastic Models in Business and Industry, and as an associate editor for The American Statistician.She is currently co-editor-in-chief of the International Statistical Review and an associate editor for the Journal of Forecasting, Chilean Journal of Statistics andAnnals of Science and Technology. She has offered several in-person and virtual workshops on R and time series analysis. She serves as the faculty coordinator in Statistics for UConn’s Early College Experience (ECE) concurrent enrolment program for CT high schools and has been involved in UConn’s pre-college summer programs for high school students.

Dr. David Banks is the Director of the Statistical and Applied Mathematics Institute, and a professor in the Department of Statistical Science at Duke University.  He obtained his PhD in statistics from Virginia Tech in 1984, then did a two-year postdoctoral fellowship at the University of California at Berkeley.  He taught at Carnegie Mellon University and the University of Cambridge, was chief statistician at the U.S. Department of Transportation, and also worked at the National Institute of Standards and Technology and at the Food and Drug Administration.  He is a former editor of the Journal of the American Statistical Association and a founding editor of Statistics and Public Policy.   He works in risk analysis, dynamic models for text networks, human rights statistics, and some aspects of machine learning.

Dr. Daniel Jeske is a Professor in the department of statistics at the University of California, Riverside (USA), where he served as the department chair during 2008-2015.  He is also a Vice-Provost of Academic Personnel at UCR.  He is an elected fellow of the American Statistical Association and served on the board of directors during 2014-2016  He is the Vice-President of Membership and President-Elect for the Internatial Society of Business and Industrial Statistics (ISBIS), a society of the International Statistical Institute (ISI).  He is the current Editor-in-Chief of The American Statistician and is the Chair of the Program Affiliates Committee of the National Institute of Statistical Sciences.  His research interests include classification and prediction methodologies, statistical process control methodologies, biostatistics applications, and reliability modeling.