Katherine has several years experience in predictive analytics in healthcare, industrial, and retail sectors, and over six years descriptive analytics background working with healthcare diagnostics and genomic data. Areas of expertise include: Customer segmentation and predictive modeling of purchasing behavior, Segmentation of high risk patients and prediction of future healthcare costs, Industrial systems cost and reliability prediction via sensors and operating metrics. She has worked for Siemens Healthcare, GenMark Diagnostics, GE Transportation, Growth Prophecy, and Pareto intelligence. Katherine has an undergrad in Biology and minor in Chemistry from Lake Forest College and a Masters of Science in Analytics from University of Chicago.