Statistical Discovery from SAS

Steering Committee

Monica Beals
Monica Beals

Monica Beals is an Analytical Training Consultant with SAS Education. She began using JMP in 2001 and joined SAS as a Statistical Training Specialist in 2007. Beals earned a PhD in ecology and evolutionary biology and a master's degree in statistics from the University of Tennessee. She has a bachelor's degree in biology from Earlham College. Before joining SAS, Beals taught as a lecturer and biology laboratory instructor for the University of Tennessee. She also had a two-year research assistantship at the university for a project aimed at increasing undergraduate mathematical literacy through the biology curriculum, funded by the National Science Foundation.

François Bergeret
Francois Bergeret

François Bergeret, PhD, leads Ippon Innovation, a consulting and software company he founded four years ago. His work includes statistics training and consulting using JMP. Ippon Innovation develops software for process optimization, outliers detection and test time reduction.

He also teaches statistics for master's degree candidates at Toulouse University. Before founding Ippon, Bergeret spent 15 years at Motorola and Freescale Semiconductor Inc., working in R&D, yield enhancement and zero defect teams. He is a Motorola Six Sigma Black Belt.

Bergeret graduated in 1992 with a PhD in statistics from Toulouse University.

Goutam Chakraborty
Goutam Chakraborty

Goutam Chakraborty is a professor of marketing at Oklahoma State University (OSU), where he has taught courses in data mining and CRM applications for the past 20 years. He is the founder of the SAS and OSU Data Mining Certificate program, as well as the SAS and OSU Business Analytics Certificate program.

 

Chakraborty has held managerial positions with a subsidiary of Union Carbide Corp. USA, and with a subsidiary of British American Tobacco UK. He is the recipient of many teaching awards, including the Regents Distinguished Teaching Award, Richard. W. Poole Faculty Outreach Excellence Award, Kenneth D. and Leitner Greiner Teaching Award and Wendell H. Bailey Faculty Excellence Award at OSU.

His research has been published in many scholarly journals, and he is co-author of the book Contemporary Database Marketing. Chakraborty has a bachelor’s degree in mechanical engineering from Indian Institute of Technology, Kharagpur, a postgraduate diploma in general management from Indian Institute of Management, Calcutta, as well as a master’s in statistics and a doctorate in marketing from the University of Iowa.

Ian Cox
Ian Cox

Ian Cox, PhD, 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 organizing 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.

Bill Kolinger
Bill Kollinger

Bill Kolinger uses JMP daily as the Senior Vice President Systems Engineer for Bank of America. He has been a JMP user since 1995 and is a co-founder of the Charlotte (NC) JMP Users Group. At Bank of America, Kolinger used JMP to lead analytics for a small team that improved liquidity by $1.5 billion and reduced operating expenses by $65 million per year while controlling quality, risk and speed. Before joining the bank, Kolinger worked as a senior statistician and quality manager at Alcatel Fiber Optics, where he applied JMP to crack elusive fiber quality problems. Kolinger is a registered professional engineer (State of California, Mechanical Engineering), certified SAS Base V.9 programmer and SAS Statistical Business Analyst, and has held most American Society for Quality certifications. He holds a BS in mechanical engineering from the University of Connecticut and an MS in statistics from California State University, Hayward. His single favorite tool in JMP is the Profiler.

David Meintrup
David Meintrup

David Meintrup, PhD, is a professor of mathematics and statistics at the Ingolstadt University of Applied Sciences in Germany. He studied at the University of Münster and at the University of Colorado, Boulder. Prior to his academic career, Meintrup worked for several years as a statistical trainer and consultant at STATCON Inc. His ongoing work for STATCON focuses on training and consulting with scientists and engineers in the semiconductor, solar, pharmaceutical and biotech industries.

Peter Mroz
Peter Mroz

Peter Mroz is a statistical programmer for Janssen Research & Development LLC. Janssen R&D is united and energized by one mission — to discover and develop innovative medicines that ease patients' suffering, and solve the most important unmet medical needs of our time.

Mroz works in the Global Medical Safety Department, where he supports the development and implementation of analytic tools that increase efficiency and analytical capability to detect and evaluate safety signals. He has been working with JMP since version 7, and is an avid JSL application developer. He co-chairs the Greater Philadelphia/Delaware Valley JMP Users Group.

His previous pharmaceutical experience includes 16 years as a programmer and consultant for clinical trials data management. Mroz graduated from the University of Delaware with a bachelor's degree in chemical engineering. He obtained a master's degree from Rensselaer Polytechnic Institute in computer and systems engineering.

John Sall
John Sall

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 in 1998. He served on the board of The Nature Conservancy (2002-2011), reflecting his strong interest in international conservation and environmental issues. He is a 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.

Carl Schleyer
Carl Schleyer

Carl Schleyer is Director of HR Reporting and Analytics with The Home Depot. He uses JMP in human resources to glean insights into employee behavior. As a nontraditional user, he is part of a growing list of business influencers who have discovered that JMP can be their statistics PhD and the secret weapon to rapid discovery of the “why” behind the “what.” In his current role with The Home Depot and his prior role with Sears Holdings Corp., he has used the JMP Stepwise platform, Profiler and k-fold cross-validation to examine and optimize such disciplines as retention, engagement, rewards, learning and scheduling.

He has spent most of his professional life in the retail industry. Schleyer has a bachelor’s degree in business management and a master’s degree in human resource management and development from National Louis University.

Vicky Svidenko
Vicky Svidenko

Vicky Svidenko is Director of Analytics and Statistics Engineering (ASE), leading a team within the Xbox Hardware Development and Validation organization of Microsoft. She delivers expert-level support to the hardware engineering community in design of experiments, statistical analysis and visualization of results, and predictive modeling and simulation, as well as the use of field telemetry data to ensure Xbox products work by design and delight customers.

Over the past 10 years, Svidenko has held a variety of engineering roles in the communications, semiconductor and solar industries. She has an ongoing relationship with analytics and its various metamorphoses. Some of her favorite topics are yield management, process monitoring, image and signal processing, experiment design, statistical analysis, data manipulation and visualization, and advanced computational techniques.

Svidenko has a master’s degree in physics from Tel-Aviv University in Israel.

Theresa Utlaut
Theresa Utlaut

Theresa Utlaut is a statistician at Intel Corporation in the Logic Technology Development organization where she is responsible for providing statistical training, consulting, and support in the development of the next-generation microprocessor. She has 14 years of experience at Intel in the development organization. Utlaut has internal and external publications on JMP scripting, robust regression methods, unbalanced mixed linear models, semiparametric regression, data mining and SPC. She earned her PhD in statistics from Oregon State University.

Sameer Vittal
Sameer Vittal

Sameer Vittal is the Engineering Technical Leader for Analytics with GE Energy's Advanced Technology Operations. He has been with GE since 2000. He leads a global team of scientists and engineers tasked with developing knowledge-based services and technologies to manage the risk and health of complex engineering systems like gas turbine power plants and wind turbines.

His responsibilities are in two main areas – (1) developing data mining, prognostics and asset health management solutions for power generation and propulsion equipment and (2) developing financial risk modeling and optimization solutions for extended warranties and contractual service agreements.

Vittal has a BE in mechanical engineering from Bangalore University, India as well as MS and PhD degrees in mechanical engineering from Rensselaer Polytechnic Institute, Troy, NY. He has more than 15 years of experience in analytics, predictive modeling and optimization, reliability engineering, asset condition monitoring and risk management in the automotive and energy industries. He is a frequent speaker at industry conferences with an interest in actuarial engineering – an emerging risk management field that integrates techniques from engineering, operations research and actuarial science. He lives in Atlanta, GA.

John Wass
John Wass

John Wass is a consulting statistician with Quantum Cat Consultants in the Chicago area. Wass is also a contributing editor at Scientific Computing and acts as administrator of the Great Lakes JMP Users Group. In addition, he co-chairs a national data analysis meeting, writes experimental design papers for an engineering validation journal and serves as a statistical referee for two veterinary journals. In all his spare time, he pursues original research in statistical pharmacogenomics. Wass worked for a number of years as a senior statistician in diagnostics and global pharmaceuticals R&D at Abbott Laboratories.

Jason Wiggins
Jason Wiggins

Jason Wiggins is a Senior Research Engineer for US Synthetic, a leading supplier of polycrystalline diamond cutters (PDCs) and the 2011 recipient of The Shingo Prize for excellence in Lean manufacturing. At US Synthetic, he develops new destructive and nondestructive tests to evaluate the key materials, properties and performance of PDCs. Wiggins specializes in measurement systems analysis, data mining, reliability analysis, design of experiments and Lean project management. He pioneered the use of JMP at US Synthetic for statistical analysis and DOE. Wiggins is also the co-founder of the Wasatch Front JMP Users Group in Utah.