Smarter Pharma with Predictive Analytics Successes of the use of predictive analytics within pharmaceutical manufacturing to improve yield and quality while reducing costs. • Simplify Regulatory Compliance • Optimize Harvest Times and Yield • Accelerate Clinical Trial • Validate GxP with Confidence • Drive a Culture of Quality
Speaker
Danny Stout
Danny W. Stout, Ph.D., is a Senior Solutions Consultant and Pre-Sales Professional with TIBCO Statistica assisting customers with analytic solutions for business needs in a variety of vertical markets with an emphasis on pharmaceutical manufacturing. He has led projects in automation of APRs, stability studies, genealogy and manufacturing applications for many industry leaders in pharmaceutical manufacturing. His broad range of expertise, experience and education allows him to assist with custom statistical and data mining solutions, training in statistics and data mining methodologies and sales engineering. His educational background is dynamic and versatile with degrees in academic leadership, human relations and educational psychology. He received his doctorate from Oklahoma State University in the Research, Evaluation, Measurement and Statistics Program in the Educational Psychology Department. Prior to his time with Statistica, he was faculty with the University of Oklahoma, and served as the Curriculum Development and Evaluation Specialist for the Family Medicine Residency Program in the School of Community Medicine.
Speaker
Ken Horgan
Ken has 10 years of experience in the pharmaceutical industry, working as the Global Director of Sales for TIBCO Statistica. His experience includes developing value added applications for Statistica such as Web Data Entry, Product Traceability, and Stability and Shelf Life Analysis. Ken joined Statistica in 2009 and is based in Boston, MA USA. He has his Bachelor of Science in Business Information from Boston University.