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).

  • 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.

  • Ian Cox

    JMP Director of Pre-Sales Support, SAS, Marlow, United Kingdom

    Ian Cox, PhD, leads pre-sales support for JMP. Previously, he was the JMP Marketing Manager in Europe. He has worked for Digital and Motorola, was a Six Sigma Black Belt and also worked with Motorola University. Before joining SAS, 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.

  • 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.

  • Birgitte Høiriis Kaae

    Senior Scientist in System Integration, R&D, Radiometer Medical, Copenhagen, Denmark

    Birgitte Høiriis Kaae focuses on the integration of chemistry, software and hardware to identify and solve challenges early in the development process. She is responsible for input, design, execution and analysis of studies, as well as problem solving. Kaae ensures fast, reliable, reproducible data analysis through consistency checks and development and validation of scripts. She is an expert group member for establishing best practices and securing uniform testing, reproducible data analysis and high-quality documentation. Kaae has a PhD in medicinal chemistry from University of Copenhagen.

  • 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.

  • 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.

  • 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.

  • Philip O'Leary

    Data Integration Manager, Six Sigma Master Black Belt, Murata Electronics, Vantaa, Finland

    Philip O'Leary has been working in the ASIC & MEMs industries for over 35 years. He's spent the last 28 years at Murata Electronics, a global leader in the design, manufacture and supply of advanced electronic materials, leading edge electronic components, and multi-functional, high-density modules. He has held many positions and roles at Murata, including Process Development, Quality Improvement, Yield and Cost betterment. Since his introduction to the Six Sigma and Lean philosophies back in the late '90s he has devoted much of his efforts on utilizing the vast amount of manufacturing data to support company strategic goals. His Data Integration team builds standard data sets for the whole organization using JMP. These data sets have dramatically reduced root cause analysis times and have helped significantly in new product introductions. His team also provides JMP training and statistical data analysis services to the organization. Currently a lot of effort is being put into the exploration of using AI techniques on manufacturing data using JMP/JMP Pro.

  • Christian Raap

    Global Process Technology Leader, The Dow Chemical Company, 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 data analysis techniques to better understand unexplained phenomena and to improve processes and ensure safety, stability and cost savings.

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