Sam Gardner
Research Scientist, Eli Lilly and Company
Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling to help solve business problems related to sales and marketing effectiveness. Gardner is recognized by the American Statistical Association as an Accredited Professional Statistician. He has an MS in mathematics from Creighton University and an MS in statistics from the University of Kentucky. He graduated from Purdue University with BS degrees in mathematics and chemistry.
Gardner started his professional career as a military officer in the US Air Force, where he had roles that focused on modeling and simulation, operational flight test planning and analysis, and research and development. He also taught statistics at the Air Force Institute of Technology. After leaving the military, Gardner worked in the pharmaceutical industry as a statistician supporting the development and manufacturing of active pharmaceutical ingredients. He also worked as a process chemist with scientific oversight responsibility for antibiotic production processes. An avid user of statistical software, Gardner spent several years working for JMP®, a division of SAS®. He worked internationally as a product expert and seminar speaker, with a focus on data visualization, applied statistics, and modern statistical modeling.
By This Author
Building Better Models with JMP® Pro
By Jim Grayson, Sam Gardner, and Mia Stephens
This book provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems.
Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.