Thomas Hill

Dr. Thomas Hill is Senior Director for Advanced Analytics and Data Science in the TIBCO Analytics group. He previously held positions as Executive Director for Analytics at Statistica, within Quest's and at Dell's Information Management Group. He is a co-founder of StatSoft, Inc., the creator of the Statistica line of products. At StatSoft he was responsible for building out Statistica into a leading analytics platform adopted by organizations world-wide, serving as Senior Vice President for Analytic Solutions for over 20 years until the acquisition by Dell in 2014..

Dr. Hill received his Vordiplom in psychology from Kiel University in Germany, earned an M.S. in industrial psychology and a Ph.D. in psychology from the University of Kansas. He was on the faculty of the University of Tulsa from 1984 to 2009, where he conducted research in cognitive science and taught data analysis and data mining courses. He has received numerous academic grants and awards from the National Science Foundation, the National Institute of Health, the Center for Innovation Management, the Electric Power Research Institute, and other institutions.

Over the past 20 years, Dr. Hill has guided the development of advanced analytic software and solutions; his teams have also completed diverse consulting projects with companies from practically all industries in the United States and internationally on identifying and refining effective data mining and predictive modeling / analytics solutions for diverse applications.

Dr. Hill has published widely on innovative applications for data science and predictive analytics, and authored over 10 patents on various innovative analytic technologies and applications. He is a co-author of Statistics: Methods and Applications (2005), the Electronic Statistics Textbook (a popular on-line resource on statistics and data mining), a co-author of Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications (2012), Practical Predictive Analytics and Decisioning Systems for Medicine (2014), and Practical Data Analytics for Innovation in Medicine (2022, in press); he is also a contributing author to the popular Handbook of Statistical Analysis and Data Mining Applications (2009).