Dr. Gary Miner received a B.S. from Hamline University, St. Paul, MN, with biology, chemistry, and education majors; an M.S. in zoology and population genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA pre-doctoral fellowship. He pursued additional doctoral and postdoctoral studies in the areas of mammalian genetics, marine embryology, behavioral genetics, schizophrenia, psychiatric epidemiology, and biostatistics, eventually becoming immersed in the study of affective disorders and Alzheimer’s disease.
In 1985, he and his wife, Dr. Linda Winters-Miner, founded the Familial Alzheimer’s Disease Research Foundation, which became a leading force in organizing both local and international scientific meetings, bringing together all the leaders in the field of genetics of Alzheimer’s from several countries. In the mid-1990s, Dr. Miner turned his data analysis interests to the business world, joining the team at StatSoft and deciding to specialize in data mining. He started developing what eventually became the Handbook of Statistical Analysis and Data Mining Applications (co-authored with Drs. Robert A. Nisbet and John Elder), which received the 2009 American Publishers Award for Professional and Scholarly Excellence (PROSE). Their follow-up collaboration, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, also received a PROSE award in February of this year, and included co-authors Dr. Thomas Hill, Dursun Delen, and Andrew Fast.
Currently, Dr. Miner and his wife, et al, are putting the final touches on their next book, Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research, due out in 2014. Dr Miner serves as Vice President and Scientific Director of Healthcare Predictive Analytics Corp.; as Merit Reviewer for PCORI (Patient Centered Outcomes Research Institute) that conducts predictive analytics research into the comparative effectiveness of treatments/drugs among different genetic groups of patients; and also as StatSoft’s Coordinator of Academic Licensing in US and Canadian markets.
Chris Papesh, CEO of HCPA, has 25 years of software development and project management experience: Chris served as an Assistant Vice President for Carnegie Mellon University and served as Technology Director for PeopleSoft and Oracle specializing in Federal agencies, research universities and the medical field, Healthcare and Life Science industry customers. Chris led PeopleSoft teams who developed data warehousing software for Kaiser Hospitals and has led Oracle application and data warehouse projects for leading research universities, hospitals and health insurance firms. Chris assisted Ascension Health to guide its system wide implementation of Oracle technologies and applications for 80 hospitals; Chris led the implementation and design workshops to implement data warehousing systems and applications for 40 Kaiser Hospitals. Chris led research and clinical trial system implementation projects at Pfizer, Merck and the NYU Langone Medical Center and School of Medicine and Cedars- Sinai Medical Center in Los Angeles.
Chris served as a vice president for ESG Consulting, senior manager for KPMG Consulting and director for financial services and administrative systems for the University of California.
Linda A. Winters-Miner, PhD, has been an educator for over 30 years, in teacher education and statistics & research design. She spent nearly two years as a site coordinator for a major (Coxnex) drug trial. For 23 years Miner directed academic programs, hired, trained, and assigned adjunct faculty comprising over 50 instructors, for Southern Nazarene University- Tulsa. Her program direction included three undergraduate programs in business and psychology and three graduate programs in management, business administration and health care administration.During the past 12 years she has designed and been author of many of the tutorials in two predictive analytic books published in 2009 and 2012. At present, she teaches undergraduate statistics & research, teaches online for University of California-Irvine and is lead author on a book on predictive analytics for medicine and healthcare delivery that will be released in 2014. She has written some of the major predictive & prescriptive analytic and decisioning models as tutorials for this latest book in the series.