Abstracts

Big Geohazards, Big Data: The Future of Data Science in a World of Natural Hazards Hundreds of millions across our planet live with the risks posed by natural geohazards such as volcanoes, earthquakes and tsunamis. Over the last few decades, rapid increases in technology, instrumentation, remote sensing, and data storage have created huge opportunities in the field of data science in geoscience. However, with so much data collected from scientific instruments and complex mathemat...

Plenary

Dr. Samuel J. Mitchell

Finding the Sweet Spot: Cross-Product Analytical Optimization in Biopharmaceutical Development (2026-EU-30MP-2788) In biopharmaceutical development, a recurring challenge is determining how analytical insights can be leveraged to establish and optimize methods. This case study focuses on a specific chromatographic technique, with the underlying approach having been successfully applied in other areas such as formulation and bioprocess development.To address this task, data from individual design of experiments ...

Jan Spindler

Modeling O2 Ingress During Barrel Aging: Automated Script and Model Detection Based on Kinetic Data (2026-EU-30MP-2828) The R&D team at Chêne & Cie has developed an innovative device enabling in situ and continuous monitoring of wine evolution within oak barrels. Among the integrated sensors, one specifically measures dissolved oxygen.To better characterize the barrel-aging process, it is essential to model the oxygen ingress events observed in our kinetic data. These events are typically marked by sharp pea...

Margaux Renaud

Application of Several JMP Tools for Process Improvement: A Purification Case Study (2026-EU-30MP-2782) This presentation demonstrates how JMP tools support process optimization and online NIR implementation for reliable product quality monitoring. It includes a case study in which SPC and capability analysis are applied to assess product purity, while process control ranges are defined using DOE, Genreg/SVEM modeling, and the Design Space Profiler. For NIR-based purity modeling, PCA and FD...

Frank Deruyck and others

Tips, Tricks + Techniques for Data Tables (2026-EU-30MP-2734) JMP has always helped to reduce time to insight – but most users only scratch the surface of what is possible, in many cases overlooking one of the most powerful aspects of JMP: the data table. This session's tips, some that are new for JMP 19 and some that have been in JMP for years, show how creative use of basic table formulas, attributes, and variables can supercharge data preparation, vis...

Chris Kirchberg

Will BayesOpt Transform Industrial Experimentation? My Bayesian Optimization Journey (2026-EU-30MP-2842) Bayesian optimization seems to be the rising star on the stage of industrial experimentation, but how does it fit alongside traditional DOE approaches? Its adaptive, goal-oriented strategy can dramatically improve efficiency and insight generation in complex systems, yet DOE remains a cornerstone in industry. In this talk, I share learnings from my research and discussions with practitioners, outli...

Skill level: beginner

Florian Vogt

Combating Antimicrobial Resistance Using Functional DOE and the Future of Assay Optimisation (2026-EU-30MP-2843) Antibiotic resistance is one of the greatest health threats facing the world. At the University of Oxford, we are pioneering a novel approach by targeting the RecBCD enzyme – a key regulator of DNA repair in bacteria. Central to this was the development of a robust, high-throughput biochemical assay, which meant navigating a complex 11-factor space.Initially limited by manual pipetting an...

Phil Kay and others

Assessing Cell Counter Comparability Using JMP’s Measurement System Analysis Platform (2026-EU-30MP-2835) Accurate measurement of viable cell density (VCD) and viability is essential for consistent performance in cell culture processes. Automated cell counters are widely used, but ensuring their comparability is critical for data integrity and reliable decision making. Instrument and operator variability can introduce measurement error, affecting process control and product quality. Without a statistic...

Yogesh Shanmugam

Build a Python-based JMP Data Connector in Minutes (2026-EU-30MP-2638) The Python interface to Query Builder provides a convenient mechanism to build your own custom data connector and still use the querying capabilities within the JMP interface. But, is it so easy to use that you can build a complete connector in a single Discovery talk? See for yourself in this fast-paced session that should give you enough information to return to work to build your own data c...

Brian Corcoran

Designing Efficient DOE Strategies for Complex Cell Media Development (2026-EU-30MP-2813) Cell culture media development often involves a daunting challenge: screening across dozens of factors –sometimes 50 or more – while operating under strict experimental resource constraints. Traditional design of experiments (DOE) approaches struggle to scale in such high-dimensional spaces, and fully automated methods can lead to impractical or non-executable designs.In this session, we explo...

Drejc Kopac

Data Analysis, Generative AI, and the Human Factor (2026-EU-30MP-2804) Remember when machine learning was the next big thing, and after that, data mining? Each time, the end of statistical modeling was predicted – wrongly so. Now, what about the impact of generative AI on statistical data analysis? Can we leave data analysis to AI? Should we, perhaps, stop teaching applied statistics to scientists and engineers? In this presentation, we test the capabilities of g...

Skill level: beginner

David Meintrup

Collaborate Smarter: Streamline Your Workflow with Editable Tables in JMP Live (2026-EU-30MP-2789) Keeping your JMP analyses connected and current can be challenging, especially when updates rely on spreadsheets, emails, or handwritten notes. This presentation explores the new capabilities that make it easier to manage shared data with JMP and JMP Live.Coming soon in JMP Live 19.5, data tables can be edited directly in the browser, removing the need to collect updates offline. This feature allow...

Skill level: beginner

Justin Chilton

Precision by Design: Applying DOE and MSA to Engineer Robust Measurement Systems (2026-EU-30MP-2631) This talk focuses on enhancing precision in metrology experiments through structured methodologies and robust validation of measurement systems. It introduces KLA’s role in the electronics ecosystem, showcasing its core competencies in illumination sources, optics, sensors, mechanics, physical sciences, and image and data processing. A central theme is the strategic use of design of experiments (DO...

John Linden

Temporal Profile Predictions for Cell Culture Using FDE and PLS (2026-EU-30MP-2778) Managing cell culture operations during bioreactor experiments is demanding, requiring constant adjustment. Coordination with downstream purification and analytics adds complexity, where misalignment drives inefficiency and delays. These challenges are magnified during technology transfer, where scale, equipment, and operational differences introduce additional uncertainty.To mitigate these ch...

Skill level: advanced

Per Vase and others

Applying DOE to Large Language Models (2026-EU-30MP-2761) ChatGPT, and large language models (LLM) in general, have become a growing source of information. The caveat is that their responses need to be assessed before being used, so that the emphasis moves from efforts to generate information to efforts to assess the quality of information. In this talk we move the attention, yet again, to the design of prompts used to learn from LLM platforms. We apply J...

Ron Kenett and others

Script Happens: Making JMP Scripting Language Learning Easy (2026-EU-30MP-2773) Learning a new programming language can be intimidating, but JMP provides tools for making this process easier. This talk discusses saving a script, the scripting index, the new JMP Assistant add-in, and integrating with Python. Whether you are learning JSL for the first time or learning a new platform, saving a script from a visualization or data table provides a great first step to insp...

Skill level: beginner

Rebecca Lyzinski and others

Head to Head: Optimal DOE vs. Bayesian Learning for LCMS Assay Development (2026-EU-30MP-2771) Developing multiple drugs of abuse testing (DAT) assays in parallel for the cobas® Mass Spectrometry system demands an efficient optimization workflow. This talk details our approach to optimizing the HPLC gradient, a typical challenge with a vast factor space in LCMS method development. We began with a constrained, I-optimal designed experiment of over 80 runs to generate the rich data set needed ...

Sebastian Hoffmeister

Advocates in Action: Building a Culture of Confident Decisions Turning analytics into real impact requires more than advanced tools; it requires empowering the people closest to the work. This plenary session brings together voices from across industries to explore how statistical enablement gains momentum inside organizations, and how individuals at every level can help lead the charge. Together, these stories illustrate how analytics advocacy isn’t just a ro...

Plenary

Meg Hermes and others

Understanding and Optimizing a Photopolymerization Process in Dispersed Media (2026-EU-PO-2810) Calyxia is an industrial scale-up specializing in the design and manufacture of microcapsules that combine biodegradability and high performance. It offers its solutions in three markets: home and beauty, agriculture, and advanced materials. During the microcapsule manufacturing process, controlling the formation of the microcapsule wall is essential to produce a high-quality final p...

Skill level: beginner

Pablo Chourreu Alba De Luna

Optimizing By-product Dosage in Oilseeds Processing Using JMP Pro and the DMAIC Methodology (2026-EU-PO-2841) At one of ADM’s EMEA oilseeds plants, the operations team faced a familiar but complex question: how much by-product is just right? Adding by-product increases the commercial value of the product, but only up to the point where process constraints start to push back. Finding that balance required both a structured approach and powerful analytics. Using JMP Pro within the DMAIC (Define, Measure, Ana...

Skill level: beginner

Eduardo Rodriguez Aguilar and others

A New Exploratory Data Analysis Approach in Cardiovascular Research (2026-EU-PO-2770) Working in a research department involves extensive lab time, conducting different types of experiments and generating plenty of data, e.g., from imaging or flow cytometry. However, data analysis is often time-consuming and unpopular among laboratory technicians. Thus, efficient tools that streamline the path from raw data to meaningful results are required. While programs like Excel or GraphPad P...

Skill level: beginner

Ines Gigler

Modeling Synthetic Chromatograms in JMP 19: Updates and New Applications (2026-EU-PO-2745) Chromatographic techniques such as HPLC, GC, and CGE are essential for analytical workflows across industries. However, optimizing these methods remains challenging due to numerous parameters and the complexity of chromatograms. Traditionally, performance metrics such as resolution or peak-to-valley ratios are extracted and modeled, but linking these metrics back to the full chromatogram is often d...

Skill level: advanced

Marco Kunzelmann

Multiple Trend Optimisation with JMP Functional Data Explorer (2026-EU-30MP-2860) A good small-scale model (SSM) is a process performed at laboratory scale, representing a manufacturing-scale process. Establishing an SSM that is truly representative of manufacturing scale is integral to allowing small-scale process characterisation studies. Previously, the analysis of time-course data was performed with an approach that assessed ±3 SD of the mean manufacturing data, though somet...

Gwenola Ninon

Detecting Sudden Process Time Variations in a Semicon Fab using Non-standard Control Charts (2026-EU-PO-2840) This poster is about tracking how long wafers – the thin slices of material used to build chips – spend inside a piece of equipment during a specific manufacturing step. Essentially, we're monitoring the equipment's process time. Sometimes, due to maintenance or other production events, these times can suddenly change or "drift." Our main goal was to create a statistical method that could...

Skill level: beginner

Charly Marty Innovation

Linking Process Parameters to Dissolution Behaviour in Generic Tablet Development (2026-EU-PO-2784) In this poster, we present a modelling workflow using JMP Pro 18 to link process parameters with dissolution behaviour for a generic film-coated tablet (FCT) under development. The dissolution profile is modelled using a three-parameter Weibull growth function (Asymptote, Location, Growth Rate), automatically fitted via a custom JSL script that extracts parameters across batches and integrates the...

Rok Vogrinčič

Presentations

Filter By

Analytic Capabilities

Abstract Type

Regions

Year

Skill Level