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.

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.

Kevin Gaffney
Kevin Gaffney

Kevin Gaffney is a Senior Principal Engineer and Design for Six Sigma Black Belt at Medtronic, the world’s largest medical technology company.  Introduced to Six Sigma techniques using JMP more than 15 years ago, he has relied on the interactive and visual learning nature of JMP in all of his engineering roles: integrated circuit package development and test, materials and failure analysis, product and process development.  Gaffney has validated the use of JMP within Medtronic with a focus on design of experiment and reliability assessment of implantable pacemakers, defibrillators and neurostimulator devices.  Gaffney is passionate about using data visualization and statistical methods to continuously improve reliability of products designed to improve quality of life.

Rob Galfi
Kevin Gaffney

Rob Galfi is a Senior Marketing Analyst with Enterprise Holdings, the largest car rental service provider in the world.  He has more than 10 years of experience developing direct marketing and CRM strategy through customer segmentation and behavioral analytics in the finance, pay television and retail industries.  Galfi uses JMP to help identify how direct marketing efforts impact customer behavior and seeks to optimize marketing efforts to target the right message to the right customer at the right time.

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.

Katharina Lankers
Bill Kollinger

Katharina Lankers, PhD, is an R&D Scientist at SCHOTT AG, a technology-based company developing and manufacturing specialty materials, components and systems. She studied mathematics and physics in Bonn, Stuttgart and Novosibirsk and received her PhD in applied mathematics from the University of Stuttgart. Since 1998 she has been working in the department of mathematical simulation and optimization at SCHOTT, focusing mainly on data-based modeling of production processes. With several years of JSL experience, she develops customized JMP applications and applies data mining methods to a variety of manufacturing problems. Moreover, she enjoys teaching JMP courses for the corporate training program.

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 an HR data scientist who focuses on exploring and predicting employee behavior. He has spent the last decade committed to improving the lives of employees, strengthening HR brands and increasing the profitability of organizations. As a professional speaker and trainer, his expertise has been recognized across the nation at more than 20 HR analytics conferences. Schleyer believes that data leads to insights and insights lead to action.

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 prior roles as Director of HR Analytics and Reporting with The Home Depot and 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.

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.

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. 

Kyle Wills
Jason Wiggins

Kyle Wills is a Senior Electrical Engineer and Raytheon Six Sigma™ Expert at Raytheon Space & Airborne Systems. Wills uses inferential and predictive statistics for issues on a wide variety of complex radio frequency (RF) electronic products.  He also provides robust design analysis and modeling for newly developed and redesigned RF electronic products. Prior to his current role in Mission Assurance as an enterprise continuous improvement project manager, he spent 10 years in product development.

Wills received his Bachelor of Science in electrical engineering from the University of South Florida and a master’s degree in systems engineering from Texas Tech University. He currently serves on the Georgia Tech Aerospace Systems Design Laboratory External Advisory Board and is President of the 4000-member Dallas Running Club.