Chuck Boiler
Analytical Strategist, SAS
Chuck Boiler is an Analytical Strategist for JMP, a business unit of SAS. Since joining SAS in 1997, Boiler has held management roles with JMP and helped develop solutions for conducting many types of analysis, including design of experiments for the semiconductor industry, quality control for pharmaceutical manufacturing and marketing applications for survey analysis using JMP software. He now works with JMP customers to help them solve problems and discover hidden opportunities in their data. Based on these customer interactions, he provides feedback to the JMP development team, which uses the information as part of JMP’s continuous development cycle.
Earlier in his career, Boiler worked for Abacus Concepts, makers of StatView software, as technical services manager and software quality assistance manager.
Boiler received a bachelor’s degree in education from the University of Oregon and has done graduate work in ancient philosophy at Graduate Theological Union in Berkeley, CA. He is a graduate of Gallup University’s Great Manager Program.
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Dick De Veaux
Professor of Mathematics and Statistics, Williams College
Richard D. De Veaux is a Professor in the Department of Mathematics and Statistics at Williams College in Williamstown, MA. An expert in applied statistics, his professional interests include data mining methodology and its application to problems in science and industry, as well as model selection and other problems for large data sets.
De Veaux holds a doctorate in statistics and a master’s degree in education from Stanford University. A summa cum laude graduate of Princeton University, he earned bachelor’s degrees in civil engineering and mathematics.
Before joining the Williams faculty, he served on the faculty at Princeton and at The Wharton School of the University of Pennsylvania. He has also been a visiting research professor at the Institut National de la Recherche Agronomique in Montpellier, France; the Université Paul Sabitier in Toulouse, France; and the Université René Descartes in Paris. In 2006-2007 he was the William R. Kenan Jr. Visiting Professor for Distinguished Teaching at Princeton University.
De Veaux is a Fellow of the American Statistical Association and the author of many research papers. He is co-author, with Paul Velleman and David Bock, of several critically acclaimed textbooks, including Intro Stats and Stats: Data and Models.
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Tom Donnelly
JMP Principal Customer Advocate, SAS
Tom Donnelly works as a Principal Customer Advocate in the JMP division of SAS. A physicist by training, he found his true calling in the field of design of experiments (DOE). For the past 25 years he has used DOE methods in industry and for the military to develop and optimize products, processes and technologies.
Donnelly joined JMP in 2008 after working as an Analyst for the Modeling Simulation and Analysis Branch of the U.S. Army’s Edgewood Chemical Biological Center at Aberdeen Proving Ground, MD. There, he helped develop and evaluate technologies for detection, protection and decontamination of chemical and biological agents.
Earlier, Donnelly was Technical Director and partner in ECHIP, a DOE software company and an early proponent of algorithmic design solutions to real-world DOE problems. He began his industrial career as a Principal Engineer at Honeywell, where he helped colleagues improve semiconductor, automotive, plastic and sensor technologies.
Donnelly earned a PhD in physics from the University of Delaware and was a postdoctoral fellow at the university’s Institute of Energy Conversion.
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Stephen Few
Principal, Perceptual Edge
Stephen Few has worked for 25 years as an IT innovator, consultant and teacher. Today, as Principal of the consultancy Perceptual Edge, Few focuses on data visualization for analyzing and communicating quantitative business information. He provides consulting and training services, writes the monthly Visual Business Intelligence Newsletter, speaks frequently at conferences, and teaches in the MBA program at the University of California, Berkeley. He is the author of two books: Show Me the Numbers: Designing Tables and Graphs to Enlighten and Information Dashboard Design: The Effective Visual Communication of Data.
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Valérie Nedbal
JMP Pharmaceutical Technical Manager, SAS
Valérie Nedbal, PhD, serves as JMP Pharmaceutical Technical Manager at SAS Institute in Heidelberg. Prior to SAS Institute, Valérie Nedbal was Senior Field Marketing Manager for LION bioscience AG, a software company offering solutions in the Life Science Market. Valérie Nedbal holds a PhD in Biology from the German Cancer Research Center in Heidelberg, and did post-docs in Max-Delbrueck Center, Berlin-Buch and in European Molecular Biology Laboratory, Heidelberg.
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Robert Anderson
Senior Statistical Consultant, JMP
Robert Anderson is an enthusiastic DOE practitioner and worked for many years in the Semiconductor industry in device and process engineering. He has lead Six Sigma improvement programs in a number of different companies. He has developed and delivered training on statistical methods and DOE to engineers and mentored them in process improvement, defect reduction and yield improvement methodologies. Robert Anderson has a BSc. (Hons) in Physics from Glasgow University and is currently completing his dissertation for a MSc. in Applied Statistics from Edinburgh Napier University.
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Massimo Martucci
JMP Systems Engineer, SAS
Massimo Martucci has more than 20 years experience in the computer software industry. His experience ranges from software development and testing, to pre- and post- sales support, including application and training. Massimo started working in IBM, and prior to joining JMP he has worked for more than 10 in SAS Italy, where he got a deep knowledge in Business Intelligence, Business Analytics and Data Warehousing, mainly in Finance, Telecommunications, Utilities and Manufacturing industries. Massimo has a bachelor’s degree in statistics from Rome ‘La Sapienza’ University.
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Dara Hammond
JMP Systems Engineer, SAS
Dara Hammond is a JMP Systems Engineer at SAS who focuses on Federal Government applications. Prior to joining SAS, she worked for three years with the US Census Bureau as a mathematical statistician and computer specialist. Hammond worked for seven years in Business Development in the Government Operations Division of SAS, where her primary focus was with the US Department of Commerce and the US Department of Health and Human Services. She has a Bachelor’s Degree in Mathematics and Sociology from Vanderbilt University.
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Jami Hampton
JMP Systems Engineer, SAS
Jami Hampton is a Systems Engineer for JMP, a business unit of SAS specializing in statistical discovery software. Before joining JMP, she worked as a software system engineer in the semiconductor industry, performing presales technical support as well as software consulting, implementation and training. Previously, Hampton worked for six years as a programmer/analyst in the semiconductor industry. Throughout her career, data analysis has been a major function in her jobs. After college, Hampton worked for two years in microbiology research and then for six years as an analytical chemist at Pepsi. She graduated from Texas A&M University with a BS in microbiology and chemistry and has also completed graduate courses in computer science.
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Valerie Hyde
JMP Systems Engineer
Valerie Hyde is a Systems Engineer for JMP, a division of SAS. She is passionate about data visualization and using analytics to help companies make better business decisions. Before joining SAS, she worked for Accenture in the Marketing Science group and at AT&T Research on a project to model the effectiveness of viral marketing on a direct mail campaign. She has also performed econometric modeling for the US Justice Department’s Antitrust Division, the US Census Bureau, and MiCRA Inc., a boutique consulting company.
Valerie earned a PhD in applied mathematics and statistics from the University of Maryland. Her research, which has been published in The American Statistician and Computational Statistics and Data Analysis, focused on mining online auction data for patterns in the price process. She also has a bachelor’s degree in mathematics and economics from Binghamton University.
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Mary Loveless
JMP Systems Engineer, SAS
Mary Loveless has more than 25 years experience in the computer software industry. Her experience ranges from project management, and post sales support including application and training. Prior to joining JMP, Loveless worked a Massachusetts General Hospital (MGH) in the Molecular Imaging Department doing both clinical and research. Focusing on the effects of different drug treatments for Alzheimer and Respiratory diseases. Loveless has a B.S. in Mathematics from Northeastern University.
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William Q. Meeker
Professor of Statistics and Distinguished Professor, Iowa State University
William Q. Meeker is a Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Statistical Association (ASA) and the American Society for Quality (ASQ) and a past Editor of Technometrics. He is co-author of the books Statistical Methods for Reliability Data with Luis Escobar (1998), and Statistical Intervals: A Guide for Practitioners with Gerald Hahn (1991), six book chapters, and of numerous publications in the engineering and statistical literature. He has won ASQ’s Youden Prize four times and its Wilcoxon Prize three times. He received ASA’s Best Practical Application Award in 2001 and the ASQ Statistics Division’s W.G. Hunter Award in 2003. In 2007 he was awarded the ASQ Shewhart Medal. Meeker has done research and consulted extensively on problems in reliability data analysis, reliability test planning, accelerated testing, nondestructive evaluation and statistical computing.
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Don McCormack
JMP Principal Customer Advocate
A practicing statistician for the last 15 years, Don McCormack came to JMP from Amgen, one of the world’s largest biotechnology companies, where he was a senior quality engineer. Earlier, he worked at SEMATECH, a semiconductor research and development consortium, where he was a member of the technical staff. He has a strong interest in applied statistics, design of experiments and training delivery in an industrial setting.
McCormack is actively involved in the statistical community, holding the position of program chair for the Quality and Productivity Section of the American Statistical Association. He has authored or co-authored articles in Quality Engineering, Technometrics and Semiconductor International.
McCormack holds master’s degrees in education and statistics from the University of Texas at Austin and a bachelor’s degree from Rensselaer Polytechnic Institute. In addition, he has completed approximately 90 hours of course work in statistics and operations research beyond the master’s level.
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Chuck Pirrello
JMP Product Manager, SAS
Chuck Pirrello is a Product Manager at JMP, where he oversees the integration of JMP with SAS software and solutions. Specifically, he is responsible for driving the development and marketing of SAS Visual BI and SAS Visual Data Discovery, which both include JMP’s capabilities for interactive data visualization and exploration.
Before joining the JMP division, Pirrello was responsible for marketing and selling business performance management applications for SAS. Prior to SAS, he worked for Hyperion and Comshare, vendors of financial and business intelligence software. In all, he has more than 20 years of experience in finance, consulting and product marketing.
Pirrello has an MBA from Sacred Heart University and a bachelor’s degree in accounting from Fairfield University.
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Sam Savage
Consulting Professor, Stanford University
After receiving his Ph.D. in the field of computer science from Yale University in 1973, Sam Savage spent a year at General Motors Research Laboratory, and then joined the Management Science faculty of the University of Chicago Graduate School of Business. Here he discovered that an "algebraic curtain" separated the bulk of his management students from management science. In 1985 Savage led the development of a software package called What'sBest!® that coupled linear programming to Lotus 1-2-3. The package won PC Magazine's Technical Excellence Award in 1986. Savage has worked ever since to bring analytical tools to managers in an algebra-free environment. In 1990, he moved to Stanford, where he teaches Management Science in the Engineering School. He has been a Visiting Professor at Northwestern University's Kellogg School and the Naval Postgraduate School in Monterey, and was recently appointed Senior Associate of the Judge Business School at the University of Cambridge.
Recent publications include articles on "The Flaw of Averages" in the San Jose Mercury News and Harvard Business Review, and Accounting for Uncertainty, in the Journal of Portfolio Management. Savage consults and lectures extensively to business and government agencies and has served as an expert witness. Harry Markowitz, Nobel laureate in economics, has called Savage’s book and software, Decision Making with Insight, "a Must Read."
In 2006, Savage founded ProbabilityManagement.org with colleagues Stefan Scholtes of Cambridge and Daniel Zweidler of Shell, to promote a unified approach to enterprisewide risk modeling.
Savage is also founder and president of AnalyCorp, a firm that develops executive education programs and software for improving business analysis.
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Louis Valente
JMP Six Sigma Product Manager, SAS
Louis Valente is Marketing Six Sigma Product Manager for JMP. Before joining JMP in 2006, he worked for Eastman Kodak Company for 28 years. As a development chemist, he commercialized numerous chemical processes that were responsible for the production of metric ton quantities of imaging chemicals and intermediates. From 2000 – 2006, Valente was the Global Imaging Chemicals Quality Manager. In that position he was responsible for the quality system for the Synthetic Chemicals Division which manufactures over 850 chemicals with a value of over $200M. Valente is a Six Sigma Black Belt whose expertise is in applying the Design of Experiments (DOE) methodology to ensure robust manufacturing methods. While at Kodak, he served as a corporate consultant and advocate for the DOE approach to experimentation. Valente received a B.S. in Chemistry from the State University of New York at Oswego, and a M.S. degree in Organometallic Chemistry from Syracuse University under the guidance of Ei-ichi Negishi.
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Mike Vorburger
JMP Systems Engineer, SAS
Mike Vorburger is a Systems Engineer at JMP, a business unit of SAS. Before joining SAS, he worked for seven years with the nonprofit research organization RTI International as a research statistician and SAS programmer. At RTI, he specialized in the analysis of complex survey data and ad hoc rapid analyses, with a focus on public health, environmental and education studies. His major clients were within the Substance Abuse and Mental Health Services Administration of the US Department of Health and Human Services. Vorburger has a BS degree in statistics, with a minor in economics, from North Carolina State University.
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Jon Weisz
Director of JMP Marketing, SAS
Jon Weisz directs marketing, strategy and product planning for JMP software, the desktop statistical analysis product from SAS. Before assuming his current role, he worked as a manager of software development, marketing and sales support for SAS. He came to SAS in 1999 from Allegro Microsystems, where he was Director of Statistical Methods.
Weisz has extensive industry experience in semiconductor and automotive manufacturing and product development. Earlier in his career, he was Vice President at the consulting firm Management Resources International (MRI), dividing his time between developing and delivering training courses and direct consulting with automotive and high-technology clients. His statistical consulting activities centered on applications of design of experiments, product and process improvement and quality systems re-engineering. Before joining MRI, Weisz was a Statistical Methods Facilitator at Ford Motor Company.
He received a master’s degree in biostatistics from the University of Michigan and a bachelor’s degree in mathematics and statistics from Eastern Michigan University. Weisz is a member of the American Statistical Association and American Society for Quality. He is a frequent presenter on data visualization, applied statistics and design of experiments, and has written several papers on applied statistics in manufacturing and product development. He also is co-author of a book on design of experiments using mirror-image designs.
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Scott Wise
JMP Principal Customer Advocate, SAS
Scott Wise is a Principal Customer Advocate for JMP, a division of SAS that produces data visualization software for statistical discovery. He provides applied technical and product management support for JMP sales and marketing efforts throughout the United States.
Before joining JMP, Wise worked for 11 years at Dell, where he held positions in engineering, services, marketing, and global training and consulting. While at Dell, he received the company’s first-ever Black Belt and Master Black Belt certifications. Earlier in his career, Wise worked in quality management in the apparel and textile industries, among others.
Wise holds a bachelor’s degree in business administration from the University of North Carolina at Chapel Hill and a master’s degree in quality assurance from the Southern Polytechnic State University in Marietta, GA. In addition to his Dell certifications, he is also certified by ASQ as a Six Sigma Black Belt, Quality Engineer, Quality Manager and Quality Auditor. Additional certifications include PMI Project Management Professional.
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Leo Wright
JMP Six Sigma and Quality Product Manager, SAS
Leo Wright is Product Manager of Six Sigma and Quality Solutions for JMP, a division of SAS. He joined SAS in 1999 and has 27 years of professional experience in biological sciences and manufacturing. Specializing in manufacturing quality and operations, Wright has significant experience in quality improvement techniques.
At Gerber, where he worked before joining SAS, Wright directed the Corporate Quality Assurance program, and won the 1999 Process Manufacturing Enterprise Integration Award from Software Strategies magazine for the development of an integrated process control system that achieved $575,000 in cost improvement during its first year. Wright’s career also includes management positions with Ocean Spray Cranberries and Stroh Brewery.
Wright received his bachelor’s degree from Roger Williams College in 1980 and has completed several graduate-level courses in applied statistics, focusing on manufacturing process improvement. He earned Quality Engineer certification from the American Society for Quality (ASQ) and is a Senior ASQ member in the areas of Six Sigma, statistics and food regulation.
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