Kelley School of Business, Indiana University
Frank Acito is Professor of Marketing and the Max Barney Distinguished Teaching Fellow in the Kelley School of Business at Indiana University. His current teaching is focused on predictive analytics and data mining tools in courses for graduate students and corporate professionals. He is the co-founder and former director of the Institute of Business Analytics at the Kelley School. His research interests are in marketing research methods and tools, the application of research methods to management decisions, and marketing strategy. His publications on these topics have appeared in the Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research, Multivariate Behavioral Research, Decision Sciences, the Academy of Management Journal, Industrial Marketing Management, and other professional journals. Acito has served as Associate Dean for Academics and Associate Dean for Technology in the Kelley School. He also served as chair of the Marketing Department at the Kelley School for more than 11 years. During that time, he established the Center for Education and Research in Retailing with a substantial grant from Sears, Roebuck & Company. He then served as chair of the Kelley School’s Doctoral Programs for four years. He received the Distinguished Teaching Award from the Doctoral Student Association in 2002 and again in 2005. Acito developed and taught in executive programs at Infosys, Allegiant, Abbott Nutrition, Eli Lilly and Company, IBM, Rolls-Royce Allison, 3M Company, and Ingersoll Rand. He has consulted with Chrysler, IBM, Lilly, Kocolene Oil, and Walker Research. Acito holds a Bachelor of Electrical Engineering from Cornell University and an MBA and PhD from the University at Buffalo.
B. Michael Adams
Retired, The University of Alabama
Mike Adams served as Professor of Applied Statistics at The University of Alabama, where he was a faculty member for over 25 years. His primary interests are in the areas of business analytics, statistical quality control and statistical education. His research appears in such journals as Technometrics, Journal of Quality Technology, Journal of Statistical Computation and Simulation, and Quality Engineering, and he has contributed to reference texts such as the Handbook of Statistical Methods for Engineers and Scientists, The Encyclopedia of Quality and Reliability and The Encyclopedia of Science and Technology. In addition to publishing research, Adams collaborates on corporate projects. He has had the pleasure of working with organizations such as NASA, Mercedes-Benz USA, U.S. Pipe and Steel, U.S. Veterans Administration, Wal-Mart and AT&T, among others. He is involved with statistical education initiatives, including the Alabama Quantitative Literacy Program (activity-based statistics lessons for K-12 teachers), the development of distance learning courses, and study abroad programs in China. In 2013, two student teams under his direction received honors at the SAS Analytics Shootout national data mining competition. One team took first place and the other received an honorable mention (top 6 team). Adams has a PhD in statistics from the University of Louisiana – Lafayette, a Master of Science in mathematics from the University of Arkansas, and a Bachelor of Science in mathematics from the University of Louisiana – Monroe.
Dan Beitzel is the Analytics Manager at First Solar, the largest thin-film solar module manufacturer in the world, leading a team of statisticians and engineers who provide innovative analytics via JMP and SAS. His JMP experience began with version 6, which he used for the automation of data extraction, analysis and visualization. He was instrumental in JMP adoption at First Solar, having developed several JMP applications for key processes throughout the company. Beitzel is an ASQ certified Six Sigma Black Belt and an instructor for a variety of in-house courses in statistical analysis, DOE and JMP scripting.
Michèle Boulanger is an Assistant Professor in the International Business Department at Rollins College where she teaches courses in international business, operations management (also at the East China University of Science and Technology in Shanghai), and statistics. Prior to joining Rollins, she had a multi-faceted career as an executive global manager (Vice President of Quality at Motorola), a consultant (President of JISC-Statistics), a researcher (Member of Technical Staff at AT&T Bell Laboratories) and a teacher (University of Rhode Island, Columbia University). Boulanger has been involved in the development of international standards in statistics throughout her career, particularly in the areas of accuracy of measurement methods and Six Sigma and lean methodologies. She was recently confirmed as Chair of the International Organization for Standardization (ISO) technical committee TC69 on Applications of Statistical Methods. She holds a PhD in applied mathematics from the University of Rhode Island and a master’s degree in statistics from the Institute of Statistics of the University of Paris.
Ian Cox currently works in the JMP division of SAS as the Marketing Manager for Europe. He has worked for Digital and Motorola, was a Six Sigma Black Belt and also worked with Motorola University. Before joining SAS 10 years ago, he worked for BBN Software Solutions Ltd. and consulted with many companies on data analysis, process control and experimental design. Cox is part of the SPIE organising committee for process control and referees related papers for the IEEE Transactions on Semiconductor Manufacturing. He is the associate editor of Applied Stochastic Models in Business and Industry (Wiley Online) and has been a Visiting Fellow at Cranfield University. Cox is a Fellow of the Royal Statistical Society in the UK and a member of its Committee of the Statistical Computing Section. He has a PhD in theoretical physics.
Colorado Department of Public Health and Environment
Elaine Daniloff is an epidemiologist at the Colorado Department of Public Health and Environment where she uses JMP daily to measure and track the AIDS epidemic. She uses JMP for infectious disease surveillance, incidence estimates, statistical analysis and visualization of results. Daniloff discovered JMP in 1992 while working as a research assistant at National Jewish Health’s Division of Environmental and Occupational Health Sciences. She is currently starting up the first Denver (CO) JMP Users Group. She studied economics at Beloit College and received her Bachelor of Science in applied sociology from Purdue University and a master’s degree in public health from the University of Colorado.
IM Flash Technologies
Landon Jensen supports the development of data applications and analytical methods that enable discovery and identify opportunities for yield and quality improvement at IM Flash Technologies, a joint venture of Intel and Micron that manufactures leading-edge non-volatile memory. He began his career with Micron in 2000, and has worked in a variety of yield enhancement and process control positions across their network of manufacturing facilities. Jensen received a bachelor’s degree in mathematics and statistics and a master’s degree in industrial mathematics from Utah State University and completed a graduate certificate in data mining and applications from Stanford University. He is a certified Six Sigma Black Belt and serves as the Website and Internet Liaison for the Statistics Division of ASQ.
Rachel Knoll is a Financial Analysis Manager at Cummins, a global power leader in diesel and alternative fuel engines, generator sets, and related components and technology. She was one of the first adopters of JMP at Cummins in 2006, and has since grown the user base through the development of scripts and add-ins that significantly increase efficiency. Knoll and her team regularly use JMP for data extraction, cleansing, and transformation, as well as predictive analytics and visualization. Knoll has a bachelor’s degree in statistics from Purdue University and is currently pursuing a master’s degree in finance from Indiana University.
Rob Lievense leads a group that supports the consumer health care research and development department at Perrigo with statistical analysis, data visualization, advanced modeling, date-driven Quality by Design for product development, and structured experimental design planning. He has more than 20 years of manufacturing experience in the automotive industry and more than eight years of experience in the pharmaceutical industry. Lievense has presented at major conferences including Discovery Summit and the annual conference of the American Association of Pharmaceutical Scientists. He is currently the Principal Statistician for CHC Research and Development at Perrigo, as well as an active professor of statistics at Grand Valley State University located in Allendale, Michigan.
Alex Pamatat is the advanced analytics architect at NXP Semiconductors, and has been using JMP since college to transmute data into decisions. Pamatat provides advanced analytic leadership to the Enterprise Business Intelligence program, promotes awareness of advanced analytic opportunities and drives advanced analytic communities of excellence across NXP. As a data and analytics practitioner, he has consistently used JMP in all aspects of his career to drive continuous improvement, and throughout each development phase of new manufacturing processes. He also uses JMP for the discovery, visualization and data wrangling needed to tackle big data problems. Pamatat trains multidisciplinary peers within NXP on structured problem-solving techniques, predictive analytics, data exploration and analysis, as well as applied statistics using JMP software.
Andrew Parker is a Data Science and Analytics Manager at Boeing, the world’s largest aerospace and defense company. He manages a team of data scientists supporting Boeing Global Services within Digital Aviation & Analytics. His team uses a variety of analytical techniques to provide business solutions to several CAS organizations. Parker has also worked in Supplier Management Finance as a data scientist, supported Airplane Development Estimating, and worked in 787 Program Estimating. He has been using JMP since 2011 and established it as the gold standard of analytics software for the predictive modeling team in Supplier Management, where it is used for its modeling platform, dynamic visualization capacity, and customization through scripting. He studied mathematics and economics at University of Puget Sound and received his master’s in applied statistics from Colorado State University.
Philip J. Ramsey
North Haven Group
Philip J. Ramsey is the owner of the North Haven Group, a firm offering full-service statistical training and consulting in all levels of Six Sigma, as well as comprehensive training in design of experiments and predictive analytics. Ramsey is also a Principal Lecturer in the Department of Mathematics and Statistics at the University of New Hampshire (UNH). He has held the following relevant industrial positions: Senior Engineer for Materials and Processes Development, McDonnell Douglas, St. Louis, MO; Staff Scientist/Statistician, Alcoa Technical Center, Pittsburgh, PA; and Statistician/Senior Engineer, Rohm & Haas Electronic Materials (now Dow), Marlboro, MA. Ramsey has a PhD in statistics from Virginia Tech. He lives with his family and assorted pets in Brookline, New Hampshire.
John Sall is a co-founder and Executive Vice President of SAS, leader in business analytics software and largest independent vendor in the business intelligence market. He also leads the JMP business division, which creates interactive and highly visual data analysis software for the desktop.
Sall joined Jim Goodnight and two others in 1976 to establish SAS. He designed, developed and documented many of the earliest analytical procedures for Base SAS® software and was the initial author of SAS/ETS® and SAS/IML® software. He also led the R&D effort that produced SAS/OR® software, SAS/QC® software and Version 6 of Base SAS.
In the late 1980s, Sall saw a niche that SAS software was not filling. Researchers and engineers – whose jobs didn’t revolve solely around statistical analysis – needed an easy-to-use and affordable stats program. A new software product, today known as JMP, was launched in 1989 to dynamically link statistical analysis with the graphical capabilities of Macintosh computers. Now running on Windows and Macintosh, JMP continues to play an important role in modeling processes across industries as a desktop data visualization tool. It also provides a visual interface to SAS in an expanding line of solutions.
Sall was elected a Fellow of the American Statistical Association and the American Association for the Advancement of Science. He serves on the board of World Wildlife Fund and was a member of the board of The Nature Conservancy from 2002 to 2011, reflecting his strong interest in international conservation and environmental issues. He also serves on the advisory board of the Smithsonian National Museum of Natural History. He is a former member of the North Carolina State University (NCSU) Board of Trustees. In 1997, Sall and his wife, Ginger, contributed to the founding of Cary Academy, an independent college preparatory day school for students in grades 6 through 12.
He received a bachelor’s degree in history from Beloit College in Beloit, WI, and a master’s degree in economics from Northern Illinois University in DeKalb, IL. He studied graduate-level statistics at NCSU, which awarded him an honorary doctorate in 2003.
Marianne Toft is a statistician at Novozymes in Denmark. Novozymes is the world leader in industrial enzymes and microorganisms. Through industrial biotechnology, it re-engineers processes to deliver enhanced sustainability performance, energy cost savings and decreased raw material costs. Toft and her department (Projects, Statistics and Information) support the entire organization from R&D to supply chain through general statistics and JMP support, teaching, and participation in quality projects. Before joining Novozymes, she taught and consulted on multivariate data analysis and design of experiments for Umetrics. She graduated from the University of Copenhagen with a master’s degree in food science and technology and earned a PhD in chemometrics and spectroscopy from the University of Copenhagen and the University of Queensland.
Ledi Trutna joined SAS in 2012 after 13 years as a consultant teaching statistics. She has been using JMP since version 3 and loves teaching with the software. Prior to consulting, she worked at AMD and Texas Instruments. While at Texas Instruments, she developed the catapult as a tool for teaching design of experiments and Statistical Process Control. She then shared that knowledge with others so that it could be adopted in many types of classes. She has a bachelor’s degree in biomedical engineering from Duke University.