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Statistical Sampling and DOE Specialty Chemicals and Biotech Consultant

Technical Consultant #2336


Expertise

  • Statistical consulting for specialty chemicals, health care, biotech and quick-service restaurant businesses.
  • Solving process and product development problems and implementing quality assurance tools to increase yield, reduce costs, speed new product introductions and improve profitability.
  • Application of statistical methodology and design of experiments (DOE) to product and process development, manufacturing cost and yield improvement, process validation, process optimization and statistical quality control.
  • Commercializing new products and implementing improved processes more quickly and effectively
  • Conduct statistical sampling plans for regulatory compliance requirements in a cost-effective manner. Assistance in the use of statistical process control driving product improvements.

Experience

Undisclosed Company, President, 1997 - Present

  • Providing statistical consulting experience in the specialty chemicals, health care, biotechnology and quick-service restaurant (QSR) businesses.
  • Solving process and product development problems and implementing quality assurance tools to increase yield, reduce costs, speed new product introductions and improve profitability.
  • Commercializing new products and implementing improved processes more quickly and effectively.
  • Application of statistical design of experiments has enabled clients to optimize their processes for maximum performance and/or minimum cost to develop optimal product formulations.
  • Expertise in use of statistical tools provides clients with enhanced understanding of process relationships and performance trade-offs.
  • Implemented statistical sampling plans which have enabled clients to meet regulatory compliance requirements in a cost-effective manner.
  • Assistance in the use of statistical process control has driven improved product quality.
  • Effectively communicate statistical concepts and conclusions.
  • Client requirements and focus on effective solutions are executed through a background in chemical engineering blended with statistics.
  • Successfully trained Research and Development Staff and integrated statistical design of experiments methodology into research and development organizations of several major corporations.
  • Trained more than five hundred engineers, scientists and technicians in North America, Europe and Asia in experimental design, statistical concepts and statistical process control.

Undisclosed Training Company, Columbia, MD, President, 2010 - Present

  • Marketing markets and support ECHIP software for Statistical Design of Experiments. ECHIP is designed for scientists and engineers, with a user-friendly interface and with extensive capabilities for design, analysis and optimization of process and formulation variables.

W. R. Grace & Company, Columbia, MD, Research Associate, 1967 - 1997

  • Established and managed Statistical and Mathematical Modeling internal consulting group, recognized for its accomplishments among all major product lines of the company.
  • Designed experimental protocols and statistical rationales for process validation at medical device plant.
  • Developed statistical sampling plans for incoming raw material and finished products. These activities led to lifting of FDA imposed import ban, and also significantly reduced inventory, saving over $300,000.
  • Designed and analyzed experiments to successfully reformulate a construction product to meet new regulatory requirements, which saved a $20 million business. Project was completed in three months, after one year and over 700 formulations of previous work had been unsuccessful. A derivative product from this project has also been commercialized in a new multi-million dollar market.
  • Established, through statistical analysis, the efficacy of a Biohybrid Artificial Liver device in extending survival times in an animal model with induced liver failure, enabling initiation of human clinical trials.
  • Conducted multivariate statistical analysis of data from pilot pollution control process to establish key process variables and demonstrate that the process, as practiced, would not meet required conversion targets.
  • Subsequent project cancellation saved several million dollars of additional investment.
  • Developed a statistical predictive formulation model for a family of catalysts, based on statistically designed experiments. This product line now generates over $70 million in sales.
  • Designed and analyzed large scale field trials for quality innovations and improved profitability in frozen bull semen business, including characterizing the relationship between motile sperm concentration and fertility in bovines.

Instructor

  • Present courses on Statistical Design of Experiments to research and development staff at several product lines. Most recent courses utilized ECHIP PC based Design of Experiments software.
  • Developed and taught the "Statistics in Research and Development" course for technician training program. Course introduced laboratory technicians to statistical thinking and basic tools for evaluation of data.
  • Delivered Performance Management course to first-line supervisors. Developed (as part of team) and taught course on Managing My Own Performance for non-supervisory personnel. These programs were designed to enhance communication, evaluation and performance appraisal skills.

Honors & Publications


Credentials

  • Graduate courses in Statistics and Operations Research, New York University and Brooklyn Polytechnic Institute, New York

Academic and Professional Affiliations

  • Sigma Xi, Research Society of America
  • American Statistical Association
  • American Society for Quality
  • American Institute of Chemical Engineers

Publications

  • Author and Co-Author of publications, educational text, and conducting presentations, conferences and on site short course training

Education

  • M.S. Chemical Engineering, Columbia University, New York, NY
  • B.S. Chemical Engineering, Columbia University, New York, NY
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