An applied statistics expert with more than 25 years of experience, this professional specializes in the application of mathematical and statistical methods to optimize product design, product reliability, manufacturing processes, quality control, and product liability risk. Their expertise includes designed experimentation, reliability analysis, warranty forecasting, statistical process control, measurement system assessment, stochastic optimization, and the development of predictive models to support complex decision-making across engineering and manufacturing environments.

Their professional background includes leadership as President of a consulting firm focused on improving product performance and manufacturing operations through advanced statistical modeling and optimization techniques. Prior roles include serving as a Managing Scientist at a failure analysis and risk assessment firm, where they evaluated product failures, forecasted risks, and supported litigation-related analyses. Their experience also includes consulting in quality and productivity improvement, as well as academic appointments as an adjunct professor and instructor, contributing to training and education in statistical and engineering methodologies.

Their academic credentials include a Ph.D. in Applied Mathematics/Operations Research, a Master of Science in Industrial Engineering, a Master of Arts in Statistics, and dual Bachelor of Science degrees in Mathematics and Statistics, along with additional doctoral-level study in statistics. Their professional contributions include numerous publications, technical papers, and speaking engagements related to statistical methods, reliability engineering, and process improvement. Their legal experience includes more than 10 years of expert witness work, including consultation, deposition testimony, and courtroom testimony in matters involving product design, manufacturing processes, and product liability risk.