Take advantage of this opportunity to immerse yourself in business applications and gain hands-on practice. Our instructors will help you get to the next level in your JMP skills in no time.
Robert Anderson is an enthusiastic DOE practitioner who worked for more than 25 years in the semiconductor industry in device and process engineering. He works for the JMP UK office from Glasgow, Scotland.
Anderson has led 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. He also has worked as a senior yield management consultant for a large semiconductor equipment and service provider. Anderson earned a BSc. (Hons) in Physics from Glasgow University and an MSc. in Applied Statistics (with distinction) at Edinburgh Napier University.
What started as an avid interest in science and mathematics in grade school guided Mark Bailey to pursue an independent study in chemistry as an undergraduate at the State University of New York at Fredonia. He expanded his academic accomplishments in graduate school at the University of Rochester while studying the hemoglobin action in blood. Eventually, he learned how to program all of the laboratory computers for real-time data acquisition and data reduction. Most of his computing now is in JMP, SAS or Smalltalk on Windows and Macintosh.
Bailey started his career as a research chemist at Eastman Kodak, where he also began to study applied statistics while working on medical diagnostics. He later moved to Abbott Laboratories, where he introduced nonlinear regression techniques for "dose-response" curves and design of experiments (DOE). Those years of experience provided a nearly perfect 'boot camp' to prepare him for his next position when he came to SAS. Bailey has focused primarily on the JMP curriculum in the areas of design of experiments and scripting for the past 10 years. More recently, he started developing industry-specific, task-oriented training, such as parallel assay curve analysis and pharmaceutical stability testing and analysis.
Bailey is the past Publications Officer and current Webmaster for the Quality & Productivity Section of the American Statistical Association. He was elected to serve as Chair-Elect and Chair of the same section in 2009-2010. His involvement with statistics has transferred to the community by acting as mentor to local high school teachers through the Philadelphia Area Statistics Teachers Association (PASTA).
All of his interests and hobbies include water: fresh-water fly fishing and tying flies, aquaculture, home brewing and canoeing. About five years ago, Bailey started developing his photography to an advanced level, toward fine art. Family time comes first, however, with his wife and two teenage children.
A favorite JMP instructor, Bailey has been known to "stay after class" for individual students more than once to help with a project or further explain the details of a course. "He took the extra time and effort to work one-on-one with me, assuring that I felt comfortable utilizing the software to reap its full benefit," said Dr. Andrei A. Zlota, Principal Process Engineer for chemical process research and development at Sepracor, Inc. Others described him as "enthusiastic and knowledgeable, particularly about DOE and scripting," "more than willing to answer questions," "well-organized," "clever, enthusiastic," and "witty and easy-going."
Peter Bartell works as a Systems Engineer for JMP, a business unit of SAS that specializes in desktop software for dynamic data visualization and analysis. He supports sales and customer development in the Mid-Atlantic region of the US.
Bartell has two decades of experience using JMP in a variety of manufacturing, product development, finance, marketing, human resources, logistics and customer service organizations. Before joining SAS, he was worldwide quality manager for Kodak’s procurement organization. At Kodak, he designed and taught Six Sigma curriculum for Kodak’s Lean Six Sigma Black, Green and Management Black Belt programs in the US, India, Japan, Brazil, Australia, China and Mexico. In those courses, JMP was the primary computational engine embedded in the curriculum.
Bartell has a master’s in Applied Mathematical Statistics from Rochester Institute of Technology. Additionally, he is certified as an Eastman Kodak Company Six Sigma Black Belt.
Monica Beals earned a PhD in ecology and evolutionary biology and a master’s in statistics from the University of Tennessee. She has a bachelor’s 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.
Beals began using JMP in 2001 and joined SAS as a Statistical Training Specialist in July of 2007. In the future, she hopes to assist with developing training materials for JMP Genomics courses. In evaluations, students have stated that Beals is “knowledgeable and personable” and that she makes learning about JMP and statistics “fun.”
In her free time, Beals enjoys hiking in the woods with her two dogs, gourmet cooking, running and starting knitting projects. Born in Wisconsin, she has also lived in Iowa, California, Indiana, Oregon and Tennessee. Monica now calls North Carolina home.
Chuck Boiler is the US Systems Engineer Manager 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 US field engineering staff and customers to help them solve problems and discover hidden opportunities in the data. Also, he provides feedback to the JMP development team, which uses the information as part of the continuous development cycle.
Earlier in his career, he worked as technical services manager and software quality assurance manager for Abacus Concepts, makers of StatView software.
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.
Brady Brady is a Technical Enablement Engineer for JMP, a business unit of SAS that specializes in desktop software for dynamic data visualization and analysis. He provides applied technical and product management support for JMP sales and marketing efforts throughout the United States.
Before joining JMP, Brady worked for Intel as a process control statistician. A former naval officer and an alumnus of the U.S. Naval Academy, Brady also has more than 10 years of experience as a professor of mathematics and statistics at the college and preparatory school levels. He holds graduate degrees in computer science and statistics.
Jian Cao is a member of the Worldwide Technical Enablement Team at JMP, a business unit of SAS specializing in desktop software for dynamic data visualization and analysis. He has more than 18 years of experience using statistics and SAS® products to solve business problems. Jian joined JMP in 2006 and has since been supporting academic customers as well as commercial accounts.
From 2001 to 2006, Jian worked in the pharmaceutical industry as a business consultant and the manager of statistical applications for a software company. Prior to that, he held different positions at AT&T, providing analytical support to sales, marketing and business planning. He began his career at AT&T Bell Labs as a research analyst.
Jian holds a PhD in economics, a M.A. in statistics and a B.S. in mechanical engineering.
Jerry Cooper works as a Systems Engineer for JMP, a business unit of SAS that specializes in desktop software for dynamic data visualization and analysis.
Cooper, who is based in Texas, supports sales and customer development in the Gulf region of the US. With 20 years of experience in production, engineering and IT departments for large manufacturing organizations, he has expertise in design of experiments, Six Sigma methodology and Lean manufacturing.
Before joining SAS, he worked for Freescale Semiconductor in Austin, TX, for more than a decade as both an individual contributor and a manager. As an Engineering Data Specialist there, he used analytics to improve processes, cycle time and yields. Earlier, he was a Business Systems Analyst for Freescale’s IT manufacturing systems.
Cooper received a bachelor’s in mechanical engineering from the University of Kansas at Lawrence. He lives in Austin with his wife Robyn and has two children who recently began careers of their own. His favorite pastime is singing in various a cappella groups.
Martin Demel is a Systems Engineer for JMP, a business unit of SAS that specializes in data visualization software. Before joining JMP, he worked at MathWorks for six years, starting as a Technical Support Engineer responsible for all MATLAB and math-related toolboxes, as well as Polyspace. After three years, he became an Application Engineer specializing in computational finance, algorithmic and energy trading, and parallel computing and deployment.
Demel has a degree in applied mathematics (Diplom-Technomathematiker) from the Technical University of Munich. While a student there, he worked as an intern both at MAN SE (construction and calculation) and IABG (mechatronics) for 1.5 years each.
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 US 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. He and his wife, Trevor Saunders, live in Newark, DE, with their son, Sam.
Sam Gardner is Senior Research Scientist in the Advanced Analytics group at Eli Lilly and Company. Earlier, he worked for JMP, a business unit of SAS that specializes in desktop software for dynamic data visualization and analysis.
Gardner, whose focus is applied statistics, is recognized by the American Statistical Association as an Accredited Professional Statistician™ and holds master’s degrees in mathematics and statistics from Creighton University and the University of Kentucky, respectively. He graduated from Purdue University with bachelor’s degrees in mathematics and chemistry.
Erich Gundlach is the Systems Engineer for the US Midwest region for JMP, a business unit of SAS that specializes in data visualization software. Before joining JMP, Erich worked for 13 years as an analytical chemist in the pharmaceutical industry, including seven years at Eli Lilly and Co. He has held positions in both quality control and R&D, and he used JMP routinely for statistical quality control, design of experiments, and fitting linear and non-linear models.
He earned a bachelor’s degree in biology from Bowling Green State University and a master’s in chemistry from Ohio State. He is working toward a master’s in statistics at Purdue.
Erich lives on a small farm in northwest Indiana with his two boys, 10 dairy cows and a menagerie of other animals. He uses JMP to control chart his cows' production and to predict the proper time to cut his hay.
Bernd Heinen is a JMP Systems Engineer for the JMP business division of SAS. He provides technical and statistical solutions to potential and active customers in Germany, Austria and Switzerland. Heinen started his career as a biometrician, consulting with applied scientists on their research and development work in the fields of medicine and agriculture. He also supported registration applications and taught applied statistics. For many years, Heinen took an active role in the IT consultancy business, providing business process design, system development and project management services to his customers. Contracts with major international companies led him to work in Germany and across Europe, gathering experience in several industries. Heinen holds a Master of Science in statistics.
Laura Higgins is a JMP Systems Engineer. Before joining SAS in 2008, Higgins worked as an ontology engineer for Ingenuity Systems, makers of IPA genomic analysis software. Previously, she was in basic research in biology for 15 years. She has used JMP for research for the last 10 years. Her most recent research was at NASA Ames Research Center with genomic analysis. Higgins’ statistical background includes multivariate statistics, genomic data analysis, and experimental design for quantitative genetic and genomic experiments. Her current responsibilities include conducting interviews with customers to help solve acute problems and help them discover hidden opportunities that are present in their data.
Higgins received her PhD in biology from the University of Texas at Austin, investigating population genetic questions. She earned a Bachelor of Science in biology from Purdue University.
Jordan Hiller is an Enablement Engineer for JMP, a business unit of SAS that specializes in desktop software for dynamic data visualization and analysis. He supports JMP Clinical and JMP Genomics, the life sciences software products that combine JMP graphics and SAS® analytics.
Before joining SAS in 2008, he worked at PDL BioPharma and Eos Biotechnology, where he analyzed gene expression microarrays for drug target discovery and biomarker identification. Hiller has been a SAS programmer for more than 10 years. He holds degrees in psychology: a master’s degree from Boston University and a BA from Harvard.
Bradley Jones, PhD, is the Principal Research Fellow in the JMP division of SAS, where he is responsible for the development of new methods in design of experiments (DOE). He built the JMP Custom Designer, a general and powerful tool for generating optimal experimental designs. He holds a patent on the use of DOE for minimizing registration errors in the manufacture of laminated circuit boards and is the inventor of the prediction profile plot for interactive exploration of multiple input and output response surfaces.
Before joining SAS in 1997, he was the principal statistician at The MathWorks Inc., where he designed and implemented the MATLAB Statistics Toolbox. He was Chief Scientist and a founding partner of Catalyst Inc., a company created to support the use of computer-aided DOE in industry.
Jones is the 2012 recipient of the Statistics in Chemistry award from the American Statistical Association (ASA). In both 2009 and 2011, he received the American Society for Quality’s Brumbaugh Award for the paper making the largest contribution to industrial quality control. He also won the 2010 Lloyd S. Nelson Award for the article having the greatest immediate impact to practitioners. Jones is the Editor-in-Chief of the Journal of Quality Technology and a Fellow of the ASA. He holds a master’s degree in statistics from Florida State University and a PhD in applied economic sciences from the University of Antwerp, Belgium.
Chris Kirchberg is a Systems Engineer for the JMP business division of SAS. Kirchberg has more than 10 years of experience in bioinformatics, proteomics and genomics. Before joining SAS, Kirchberg was a field application scientist for Ingenuity Systems where he worked across the academia and pharmaceutical and biotechnology companies exploring biological pathways related to data. He supported and taught software applications related to microarray data analysis, data integration, proteomic data analysis, and protein identification while working at InforMax and Rosetta Biosoftware.
Kirchberg has a MS in biochemistry from Colorado State University where he researched structure-function relationships of proteins. He continued this work at University of Colorado at Boulder in Dr. Robert Poyton’s laboratory, studying cytochrome c oxidase assembly, transcriptional cross-talk between the mitochondrial genome and the nuclear genome, and oxidative stress in yeast. At the same time, Chris was also an adjunct professor at Metropolitan State College of Denver where he taught human biology to non-majors.
Stan Koprowski supports the global community of JMP users, helping to ensure that they receive maximum benefit from the software. He also helps develop technical content for JMP communication channels. Koprowski, former Global Program Manager at Sanofi US, joined JMP in 2012 after working more than 15 years in the pharmaceutical industry. He holds an MS degree in business intelligence from St. Joseph’s University and is a certified Project Management Professional (PMP).
Mary Loveless is a JMP Systems Engineer at SAS. With more than 25 years of experience in the computer software industry, her skills range from project management to post sales support, including the areas of application and training.
Prior to joining JMP, Loveless worked in the Molecular Imaging Department of Massachusetts General Hospital (MGH). She contributed in both a clinical and research capacity, focusing on the effects of different drug treatments on Alzheimer’s and respiratory diseases.
Loveless has a bachelor’s degree in mathematics from Northeastern University.
Aashish Majethia is a JMP Systems Engineer. Before joining SAS, he worked in business development, engineering and the life sciences. At Raytheon, he developed models and ran simulations of various radar systems. His research experiences span pulmonary physiology, BioMEMS and medical imaging. Majethia earned a Master of Science in biomedical engineering from Boston University and a Bachelor of Science in biomedical engineering from Johns Hopkins University.
Students have compared Paul Marovich to Mick Jagger and Robin Williams, not for his tight pants or his comedic impersonations of John Wayne, but for his personality in the classroom. "I admittedly have an animated teaching style," says Marovich, who teaches statistics using SAS and JMP. "I’m sure some people had a boring professor during their college career; I want to be the antithesis of that educator."
Marovich has been known to tell a bad joke or two in his classes ("That was two-thirds of a pun — P-U!"), but he has a serious background to support his teaching. He came to SAS in 1996 with a master’s in statistical computing from the University of Central Florida (UCF) where he taught statistics briefly after graduating and before he went on to work for Lockheed Martin. At Lockheed he wrote PL/I, CLIST and SAS programs for nearly 12 years. Marovich has gained 25 years of experience using SAS and has been teaching JMP since 1999.
Marovich’s favorite aspect of teaching SAS courses is sharing his love of statistics. "I enjoy teaching the simple things," he says, naming them. Descriptive statistics. The basics of hypothesis testing and rudimentary modeling. "As powerful as some of the statistical methods are, 99.999% of analyses start with examining your data using descriptive statistics and graphs."
His entertaining delivery, knowledge and experience are a proven combination. "Paul is a well-informed and entertaining instructor," said one student. "Best teacher I ever had," said another. "Great examples, wonderful handouts and very good stories made a dry subject exciting."
Marovich resides in Cary, NC with his wife Pam, their son Tyler, and his miniature, long-haired Dachshund, Moose. He is an avid recycler and gardener and prefers Jimmy Buffett and Vivaldi over the Rolling Stones.
Massimo Martucci has more than 20 years of experience in the computer software industry. His diverse skills include software development and testing, pre- and post-sales support, and software education and training. Martucci started his career at IBM and then joined SAS Italy, where he gained the deep knowledge of business intelligence, business analytics and data warehousing, that he brings to his current role at JMP. He has a bachelor’s degree in statistics from Sapienza University of Rome.
Don McCormack is a Technical Specialist for JMP, a business unit of SAS that specializes in data visualization software.
A practicing statistician for the last 20 years, 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 active in the statistical community. He is the 2011 Chair-Elect for the Quality and Productivity Section of the American Statistical Association and the former program chair for the section. 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.
Diane Michelson is a Statistical Training Specialist with SAS Education. Prior to joining SAS, Michelson worked for SEMATECH in Austin, Texas. She was a statistician in the semiconductor industry for 17 years and has been a JMP user since release 3.2. Her research interests include statistical process control, design and analysis of industrial experiments and statistical programming. Michelson received her PhD in statistics from Texas A&M University in 1994.
Valárie Nedbal, Pharmaceutical Technical Manager, is based in Germany and supports the pharmaceutical and biotechnology industries in Europe for JMP. Prior to joining SAS, Nedbal was a Senior Field Marketing Manager for LION Bioscience AG, a software company offering software solutions for life sciences. She holds a PhD in molecular biology from the German Cancer Research Center in Heidelberg, and held post-doctoral positions at the Max-Delbrueck Center in Berlin-Buch and at the European Molecular Biology Laboratory in Heidelberg.
Daniel Obermiller is a JMP Training Program Manager for SAS and is also the manager of the SAS Design Institute for Six Sigma.
Prior to joining SAS, Obermiller was a Six Sigma Technology Leader for The Dow Chemical Co. and a longtime JMP user. He held a variety of positions at Dow, beginning in 1990. He was a consulting statistician for the entire company, supporting R&D, consumer products and emulsion polymers. Obermiller was also the statistical software contact for Dow. Specifically, he was the JMP Product Manager for Dow and was responsible for JMP being named Dow's global statistical software standard in 1998. He is the co-author of a JMP companion guide for Statistical Methods for Engineers by Geoff Vining.
Obermiller was involved with Dow’s Six Sigma effort since its inception in 1999, starting as a Master Black Belt before becoming a Technology Leader for Six Sigma. He coached more than 200 successful projects and certified more than 150 Green Belts and Black Belts. His efforts in Six Sigma helped Dow deliver more than $1 billion yearly in Six Sigma savings.
Obermiller received a bachelor’s degree in mathematics from John Carroll University in Cleveland and a Master of Applied Statistics from The Ohio State University in Columbus, OH.
Kemal Oflus works as a Systems Engineer in the JMP division of SAS. A native of Turkey, he studied engineering and graduated with a bachelor’s degree in physics in 1996 from Middle East Technical University in Ankara, Turkey. After moving to the US, he earned a master’s in applied physics from the University of Maryland in 2002. Since then, he has been involved in a wide range of projects, including design, simulation, testing and risk assessment for guidance and control systems. His interests include the use of simulation to inform design decisions and improve product outcomes.
Rich Papel joined SAS 14 years ago as a Technical Instructor. He currently teaches most of the SAS programming classes offered, as well as Enterprise Guide, SQL, Macro, JMP and SAS/Statistics.
Papel’s diverse career led him to Spain where he taught English as a Second Language, to Pacific Gas & Electric Company where he analyzed and forecasted electric loads and pricing throughout northern California, and to Data Resources Inc. where he analyzed medical resource utilization and disease patterns. His first job upon graduation was as a FORTRAN programmer for Los Angeles' public transit system where he helped optimize transit schedules.
Papel has a bachelor’s degree in sociology from California Polytechnic University, San Luis Obispo and master’s degrees in urban planning from University of California, Los Angeles and biostatistics from University of California, Berkeley.
Julian Parris is an Academic Ambassador with JMP, a business unit of SAS specializing in desktop software for dynamic data visualization and analysis. As a principal technical advocate for the use of JMP in academic settings, Parris supports professors and instructors who use JMP for teaching and research.
Before joining JMP, Parris was a faculty member in the Department of Psychology at the University of California, San Diego (UCSD) where he used JMP to teach introductory and intermediate statistics and research methods to students in the social sciences. He holds a master’s degree and PhD in Experimental Psychology from UCSD, where he studied various aspects of human behavior as they relate to interactions with computers. His primary dissertation work investigated the persuasiveness of different graphical representations of data. He holds a bachelor’s degree in Psychology from UCLA.
Jeff Perkinson is the Customer Care Manager for JMP. He began working with the first version of JMP in 1989, when he joined SAS. Before assuming his current role, he worked in SAS Technical Support and at SouthPeak Interactive, a SAS subsidiary that produced video games.
A graduate of the University of North Carolina at Chapel Hill, Perkinson received Six Sigma Black Belt training at NC State University.
Chuck Pirrello is Product Manager at JMP, a business unit of SAS. He helps direct the development and marketing of JMP’s interactive data visualization and exploration capabilities.
Before joining the JMP division, Pirrello was responsible for marketing Business Scorecard and Dashboard solutions for SAS. Earlier, he worked for Hyperion and Comshare, vendors of financial and business intelligence software. He has more than 20 years of experience in finance, consulting and product management.
Pirrello has an MBA from Sacred Heart University in Fairfield, CT, and a bachelor’s degree in accounting from Fairfield University.
Melodie Rush is a Statistician for the Customer Loyalty Team at SAS, with a background in data analysis and integration with SAS software and solutions. She provides SAS workshops for Enterprise Miner, JMP and other SAS Analytical Products, and presents live and on-demand webcasts. She has been on the commercial and academic sales teams as a technical resource for the last 14 years. Prior to joining SAS, Rush worked for Research Triangle Institute as a research statistician. She received her Bachelor of Science in statistics and her Master of Science from North Carolina State University.
Ledi Trutna is the newest member of our JMP training team. Trutna taught statistics as a consultant for the past 13 years. Prior to consulting, she worked at AMD and Texas Instruments. She has been using JMP since JMP 3 and loves teaching with the software. Trutna has a bachelor’s degree in biomedical engineering from Duke University.
Louis Valente is Manager of Global Field Enablement for JMP, a business unit of SAS specializing in statistical discovery software.
Before joining JMP in 2006 as a Six Sigma Product Manager, 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 to 2006, he was the Global Imaging Chemicals Quality Manager. In that position, he was responsible for the quality system of the Synthetic Chemicals Division, which manufactures more than 850 chemicals with a value of more than US$200 million.
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.
He received a Master of Science in organic chemistry from Syracuse University under the guidance of Nobel Laureate Ei-ichi Negishi, with whom he co-authored three papers. Valente also has a bachelor’s degree in chemistry from the State University of New York at Oswego.
Byron Wingerd works as a Systems Engineer in the JMP division of SAS, where he supports sales and customer development in the Southeast.
Before joining SAS, Wingerd worked in biologics manufacturing for the pharmaceutical industry. He was a Process Engineer for Merck in West Point, PA and, earlier, a Senior Scientist at Emergent BioSolutions, where he was responsible for vaccine production and development. In that role, he used Six Sigma methodology for improving vaccine manufacturing processes. Wingerd also was the subject matter expert for the company's BioThrax vaccine. Before graduate school, he worked for Abbott Laboratories, producing monoclonal antibodies for use in clinical diagnostic medical devices.
Wingerd graduated from Trinity International University in Deerfield, IL, where he majored in pre-med biology. He earned a PhD in microbiology and cell and molecular biology from Michigan State University in East Lansing. As a post-doctoral fellow at Michigan State's Center for Integrated Plant Systems, Wingerd researched plant defense mechanisms.
Scott Wise is a Technical Specialist 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. In addition to his Dell certifications, he is certified by American Society of Quality (ASQ) as a Six Sigma Black Belt, Quality Engineer, Quality Manager and Quality Auditor. Additional certifications include PMI Project Management Professional.
His wife, Carina, is a dual citizen of the US and the Philippines. They have one daughter, Samantha. He enjoys exercise, particularly golf, and is an avid music fan, playing bass in local Austin bands.
Wise holds a master’s degree in quality assurance from the Southern Polytechnic State University in Marietta, GA and a bachelor’s degree in business administration from the University of North Carolina at Chapel Hill.