Modeling in the Healthcare Industry: A Collaborative Approach
Evariant has partnered with, and are using DataRobot for multivariate predictive analytics because it is a flexible, robust, and extremely efficient tool for maximizing our modeling efforts, as well as an example of leveraging high-end data science and tools in the healthcare industry.
As Director of Analytics at Evariant, Bill’s focus is on design, execution, and implementation of optimal analytics. Maximizing ROI as a result of multivariate predictive modeling is a primary goal. Bill has been a presenter at major marketing, analytics, and academic conferences including the DMA, AMA, APA, APHA, and GSA. His background as an experimental and health psychologist has included teaching as well as several years of clinical work. His specialty areas include older adults, community-based research, HIV/AIDS, sexual behavior and risk, environmental stress, influenza and pneumonia vaccination, depression and mental health, medication and health literacy. Dr. Disch earned his Ph.D. in experimental psychology from the University of Rhode Island, with a specialty in quality of life and well-being, and mixed-methods (quant, qual, mixed).