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Steering Committee

Björn Arnold

Physicist, OPTIMA Nonwovens, Schwäbisch Hall, Germany

Björn Arnold has been a member of Optima's Research & Development department since 2012. He has a diploma in theoretical physics and materials science, earned at the Max-Planck-Institute for Metals Research, Stuttgart. At Optima Nonwovens he has introduced JMP as the statistical tool of choice. He uses it for advanced design of experiments and analysis and has recently turned to JMP Pro for more insights into big data applications. Arnold is the key JMP user at Optima, supporting his colleagues in the use of JMP for their applications. Besides his JMP skills, he's the point of contact for all questions regarding general statistics, machine learning and other upcoming technologies related to these fields. Arnold is a member of the German Physical Society (DPG).

Bjorn Arnold

Jean Augé

Lean Six Sigma Expert, Airbus, Toulouse, France

Jean Augé has a background in electronics, computer science and engineering. Augé has been working at Airbus for more than 25 years and now works as a Black Belt Lean Six Sigma expert in the avionics computer plant in Toulouse. He uses data mining techniques on big data to get the maximum potential from the production line and test benches for increased profitability. He uses JMP Pro on a daily basis to overcome challenging objectives.

Jean Auge JMP Steering Committee

Ian Cox

JMP European Marketing Manager, SAS, Marlow, United Kingdom

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.

Ian Cox

Egon Gross

Master Technologist, Symrise AG, Holzminden, Germany

Egon Gross, an engineer in biotechnology, works in the Research & Technology department of Symrise AG, a global company in the flavor and fragrance business. During the past 18 years his focus has been on process development and improvement of microbial fermentation processes from lab to production scale. Over the past seven years he has utilized design of experiments (DOE) principles as often as possible to speed up development tasks and to obtain more insight into the systems of interest. Additionally, Gross supports colleagues from other R&D departments with multivariate data analysis to gather as much meaningful information as possible from historic and unstructured data prior to subsequent DOE experiments.

Egon Gross

Bart De Ketelaere

Research Manager, Division of Mechatronics, Biostatistics and Sensors, Catholic University of Leuven, Leuven, Belgium

Bart De Ketelaere, PhD, is research manager in the Division for Mechatronics, Biostatistics and Sensors (MeBioS) of the Catholic University of Leuven, Belgium.  He has degrees in statistics and in bioengineering. De Ketelaere obtained his PhD in 2002 and has developed a keen interest in industrial quality control. He is an inventor who holds several patents and has authored and co-authored more than 110 ISI publications in the broad field of quality control.

Bart De Ketalaere

Gerd Kopp

Statistician, Quality Management Reliability, Biotronik, Berlin, Germany

Gerd Kopp is a statistical consultant with Biotronik SE & Co. KG, a Berlin-based medical device manufacturer with a focus on cardiac rhythm management. As part of the Quality Management Reliability group, his applications mostly include reliability, experimental design and process control. Kopp does across-site statistical training using JMP and he develops and reviews statistical guidelines used within Biotronik. He has been with the company for seven years and has been a JMP user since version 9.

Gerd Kopp

Kevin Lennon

Staff Product Development Engineer, Intel Corporation, Leixlip, Ireland

Kevin Lennon is a Staff Product Development Engineer in Intel Ireland’s Fab 24, Europe’s largest semiconductor manufacturing plant. Lennon has worked at Intel Ireland for over 17 years and has spent most of this time working as a lithography process engineer on the bleeding edge platforms. He spent five years working in the U.S. at the development site in Oregon, as well as the high-volume sites in Phoenix, Arizona, and Albuquerque, New Mexico. Over the last seven years Lennon was responsible for revolutionizing data extraction and analysis in Intel’s High-Volume Manufacturing sites. This journey was described in his award-winning presentation to Discovery Summit Europe in Prague 2017, presented along with his colleague Adrian Porter. Lennon was recently asked to join the accreditation board of Ireland’s first and only undergraduate data science degree at Dublin City University, which accepted its first students in September 2017.

Kevin Lennon Steering Committee

Angela Manginelli

Senior Scientist, Biomarker Data Analytics, Merck, Darmstadt, Germany

Angela Manginelli studied mathematics and holds a PhD in bioengineering. She has worked in biostatistics in the pharma industry for the last seven years. She has wide experience in assay development and validation in non-clinical and statistical design of experiments (DOE). Recently she joined the Clinical Biomarker Operations team at Merck. Manginelli is a pleased user of JMP in her daily work, especially for exploratory analysis. She is also a supporter of JSL scripting.

Angela Manginelli

Elie Maricau

Data Analytics Team Lead, BASF, Antwerp, Belgium

Elie Maricau is a lead data analytics expert at the BASF site in Antwerp, Belgium. As part of a site digitalization effort, he is responsible for the development and application of data analytics to improve both the productivity and reliability of the chemical installations. In addition, he is involved in the development and implementation of analytics solutions within the BASF group through various forums, communities and projects. As an Lean Six Sigma Black Belt and JMP expert, he is strongly involved in the Lean Six Sigma Antwerp site program. Maricau earned an electrical engineering degree from the KU Leuven in Belgium and a PhD in the analysis and simulation of integrated circuit reliability from the same university.

Elie Maricau

Christian Raap

Global Process Technology Leader, The Dow Chemical Company, Rheinmünster, Germany

Christian Raap started his career with Dow in R&D Solid Liquid Separations, holding different manufacturing, improvement and safety positions in Dow´s Energy and Monomers plants. Since early in his career he has considered JMP a highly versatile tool for defect identification and process improvement. Raap values the combination of scripting capabilities and data visualization in JMP, as these features greatly reduce the effort to observe defects from different perspectives and to monitor processes continuously. In his involvement with JV partners he advocates the usage of Big Data analysis techniques to better understand unexplained phenomena and to improve processes and ensure safety, stability and cost savings.

Christian Raap

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