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Max Barney Distinguished Teaching Fellow, Indiana University
Frank Acito teaches courses on predictive analytics and data mining tools to graduate students and corporate professionals in the Kelley School of Business. Acito has served as Associate Dean for Academics, Associate Dean for Technology and chair of Doctoral Programs at the Kelley School. He is the co-founder and former director of the the school’s Institute of Business Analytics. His research interests are in marketing research methods and tools, the application of research methods to management decisions and marketing strategy. He has been published in many professional journals and has developed and taught executive programs at Fortune 500 companies.
Principal Analytical Training Consultant, SAS
Mark has been a JMP instructor since 1998. He applied statistics and Six Sigma methods to industrial R&D in new business ventures for 16 years before teaching for SAS Education. He holds a doctoral degree in chemistry from the University of Rochester.
Senior Systems Scientist, IDEXX Laboratories
Nathan Clark has 14 years of experience in research and development of veterinary diagnostic products. Starting with JMP 5, Clark has grown with the software and is now responsible for mining data in several locations and developing innovative analysis methods to decipher the story contained in the data. His focus is on the functional breakdowns of biological and engineering systems and merging that data together for a complete system understanding. Clark guides R&D teams for optimized visual analytics and uses JSL to create software tools for streamlining analyses.
Senior Staff Data Analytics Scientist, GE Renewables
Brad Foulkes works on predictive and prescriptive analytics for power plant equipment. He has worked in several businesses across General Electric, including aircraft engines, circuit breakers, motors and gas turbines, and has held several roles, including design engineer, DFSS Black Belt and reliability engineer. He is a daily user of JMP and JMP Pro, regularly employing the Reliability platform and several other modeling platforms, as well as using JSL to develop tools that help his team. In 2016, he was a founding member of the Upstate JMP Users Group in South Carolina.
Financial Analysis Manager, Cummins
Rachel Knoll was one of the first adopters of JMP at Cummins, a global power leader in diesel and alternative fuel engines, generator sets and related components and technology. She 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.
Master’s Industrial Internship Program, University of Oregon
As Manager of the Photovoltaic and Semiconductor Track, Fuding Lin helps students launch successful careers in the semiconductor, optics and polymer industries, specifically by teaching design of experiments. Lin started using JMP when evaluating different software platforms for DOE instruction and has been a strong advocate for JMP ever since. He now uses JMP Pro extensively to help students learn statistical concepts and SPC, and how to design experiments and analyze data. He enjoys exploring the capabilities in JMP for data visualization, consumer research, predictive modeling and scripting.
Patricia Dianne McNeill
Associate Director of Cell Culture Development, Lundbeck
Patricia McNeill leads a team in designing and evaluating fermentation and cell culture experiments for the production of therapeutic monoclonal antibodies. She uses JMP to identify conditions that increase antibody yield and quality, as well as to characterize stable and robust process conditions. McNeill began her JMP experience with version 7 and has since been instrumental in establishing JMP adoption across several departments. Her favorite JMP platforms are Graph Builder for visualizing data and definitive screening designs. McNeill has over 28 years of industrial biotechnology experience.
CTO, Soap Health
Tom Mercier has more than 25 years of experience taking products from concept to market. Mercier has dedicated his career to building cohesive, high-caliber engineering teams and developing first-to-market, one-of-a-kind products. He has expertise in conversational AI, data science, engineering management and new product introduction. Before joining Soap Health, Mercier was Director of Process Engineering at Magic Leap, where he led development of the company’s most successful product. From semiconductors and optics to mixed reality, he has held various key positions at Atmel, Vitesse, Qorvo, Digital Optics and FLIR.
Data Science and Analytics Manager, Boeing
Andrew Parker manages a team of data scientists supporting Boeing Global Services (BGS) Analytics division. His team uses a variety of analytical techniques to provide business solutions to several BGS 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.
Research Manager, Minimally Invasive Therapies Group, Medtronic
Susan Roweton is responsible for continuous improvement of testing and data analysis methods for the Tissue Effect Research team, using JMP to visualize, mine and model critical performance data for energy-based vessel sealing devices. She facilitated the use of JMP by all Tissue Effect Research scientists and engineers for comprehensive analysis of data for regulatory submissions. Prior to her current role at Medtronic, Roweton was Manager of the Technology Development at Covidien Respiratory and Monitoring Solutions. She has 18 years of industrial experience in medical device research and development.
Manager, JMP Product Management, SAS
Daniel Valente defines product requirements and helps communicate product information to prospects and users. Before joining SAS, he completed an NIH post-doctoral fellowship at the Boys Town National Research Hospital. Valente holds a PhD in architectural sciences from Rensselaer Polytechnic Institute and has been a longtime JMP user.
AI / Machine Learning Technology Manager, Eastman
Kevin White leads a team of machine learning engineers who provide advanced analytics solutions across a range of business problems at Eastman, a global specialty materials company that produces a broad range of products found in items people use every day. White is an ASQ Fellow and a past chair of the ASQ Chemical and Process Industries Division. His JMP experience began with a student version over 25 years ago at the University of Tennessee, where he received his bachelor’s and master’s degrees in statistics.
Statistician, W.L. Gore
Cameron Willden supports engineers and scientists across many different product lines at W.L. Gore, focusing on manufacturing and new product development. Willden has developed different JMP and SAS tools and applications for broad usage across the company, and has taught a variety of courses at Gore, covering introductory statistics, design of experiments, statistical process control, sampling plans and measurement systems analysis. He is an active member of the JMP User Community, where he enjoys interacting with other users and helping them learn to use JMP more effectively. He began using JMP with version 9 as a graduate student.