Abstracts

From Data Historian to Insight: Scalable Time-Series Workflows in JMP (2026-US-30MP-2952) Industrial time-series data is growing rapidly in both volume and complexity, driven by widespread use of systems such as the PI System and AspenTech IP.21. JMP’s Data Historian integration enables analysts to connect directly to these systems, bringing high-frequency, multistream data into JMP for interactive exploration and analysis. This presentation demonstrates practical workflows for selectin...

Skill level: beginner

Michael Hecht JMP

A Systematic Workflow for Intelligent Process Capability and ROI Simulation (2026-US-30MP-2931) Process capability analysis in high-stakes manufacturing demands rigor and consistency – yet execution is routinely undermined by non-normal data, measurement noise, process instability, and uneven statistical expertise. This presentation introduces a fully automated JMP process capability workflow and scorecard methodology designed to eliminate these barriers systematically.Using the JMP 19 W...

Skill level: intermediate

Pin Hu and others

JSL Dialogs 101: Build Your Own Click-to-Log Data Entry Window (2026-US-30MP-2932) Many of us would prefer to make rote tasks as efficient and speedy as possible, but sometimes you just can’t get around them. Manually entering new data to an existing data table is one of these tasks. If you find yourself entering new data by copy-pasting from previous cells and wishing there was just a drop-down for some of these values, look no further. In this session, discover a practical patt...

Skill level: intermediate

Monique Roerdink Lander JMP

What Does the Data Say? Using JMP to Explore Mauna Loa CO2 Data (2026-US-30MP-2966) The NOAA Global Monitoring Laboratory Mauna Loa record is one of the best-known time series of atmospheric carbon dioxide (CO2). In this session, we use it to demonstrate practical, interactive data exploration tools in JMP, including Graph Builder, fit model, row diagnostics, factor profiling, and the local data filter.After importing the Mauna Loa monthly CO2 data, we dynamically expl...

Skill level: beginner

Don Lifke Self

When Ingredients Have Sub-ingredients: A JMP Add-in for Complex Designs (2026-US-30MP-2971) Modern product formulation has never been more complex. Whether developing a new shampoo or a life-saving drug, today's scientists and engineers face a new reality: ingredients are no longer simple. They come with sub-choices. Each ingredient may have multiple sub-ingredient options, each with its own concentration limits, and each formulation may require selecting only a handful from a longer list...

Skill level: intermediate

Yasmine Hajar and others

Let it Be (Done Already): Saving Time with Sequential Sampling (2026-US-30MP-2897) Sequential sampling is like a relationship. After a while, we can either accept it, reject it – or keep trying. Compared to its stodgy cousin, fixed size sampling, we are nimbly making a decision every step of the way. This method has a very big advantage over the fixed size approach: it often requires far fewer parts, yet provides the same statistical power. Fewer parts means it saves time, m...

Skill level: intermediate

Charlie Whitman JMP

Democratising AI for Pharmaceutical Process Optimisation using JMP (2026-US-30MP-2984) Optimizing yield in pharmaceutical fermentation presents unique challenges for data-driven modelling. Batch cycles span several days, with process parameters changing continuously in real time, while final API yield is measured only at the end of the batch. This delayed feedback prevents in-process correction and limits the effectiveness of traditional real-time control methods. Complex interaction...

Skill level: intermediate Skill level: advanced

Anurag Seksaria Seksaria Knowledge Partner

Pictures from the Gallery 11: Innovative Graph Builder Views (2026-US-30MP-2901) A picture is said to be worth a thousand words, and the visuals that can be created in JMP Graph Builder can be considered fine works of art in their ability to convey compelling information to the viewer. This journal presentation features how to build popular and captivating graph views using JMP Graph Builder. Based on the popular Pictures from the Gallery journals, we highlight new v...

Skill level: beginner

Scott Wise and others

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

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 JMP

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

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 ...

Skill level: beginner

David Meintrup

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

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