David Shilane provides incisive and creative solutions to analytical problems. With a background in statistics, consulting, business, and computer science, he enjoys working with clients at every step from their initial questions to the final report. With years of programming experience, primarily using R, David can deliver flexible and agile computing solutions to the challenges facing your business.
David’s experience as a statistician and consultant span a range of practices and industries. While serving as a biostatistician at Stanford University, David collaborated with physicians, researchers, health providers, and insurance organizations to improve the effectiveness and reduce the cost of medical treatments. His work included extensive analysis of large databases spanning millions of patient records over many years. Working in educational technology, David was the principal designer of the software tools and the analytics platform for generating customized lessons based upon a student’s learning style, needs, and interests. He also has experience working in model risk management for a premier investment bank. David has served as a consultant on projects in many industries, including market research, financial services, nutrition and health programs in developing countries, biotechnology, medical devices, clinical trials, real estate, retail, marketing, and website optimization.
David received a B.S. degree in Mathematical and Computational Science and an M.S. in Statistics from Stanford University. He completed a Ph.D. in Biostatistics from the University of California Berkeley. As part of his doctoral studies, David also pursued a Designated Emphasis (Ph.D. Minor) in Computational and Genomic Biology. During his graduate career, David served as a lecturer and teaching assistant for introductory and graduate level courses in statistics and computer science. He has co-authored over two dozen scholarly papers and publications in the fields of statistics, computer science, cardiology, nephrology, genetics, and health economics.