Abstracts

Intraterrestrials: Discovering the Strangest Life on Earth In the past few decades, the technology to sequence DNA directly from environmental samples has shown us that we had been missing the vast majority of the biodiversity on Earth. Much of this new life is in our deep subsurface, at crushing extremes of pressures, temperatures, pH, and toxic chemicals; places where life doesn’t seem possible, yet we’re finding that it exists. Join me as I take you on ...

Plenary

Karen G. Lloyd

Less Writing, More Science: Automated Reports by Integrating JMP and Python (2026-US-30MP-2916) To support regulatory filings, the Process Characterization and Cell Banking group at Regeneron executes small-scale laboratory studies to generate characterization models. Historically, analyzing results and assembling reports has been a tedious, months-long effort, with final reports spanning hundreds of pages. By combining JMP’s scripting capabilities with Python, we have developed an automation...

Skill level: intermediate

Lucy Lin Regeneron

Deep Dive into Python, R Integration in JMP 19: Techniques and Interfaces (2026-US-30MP-2928) This presentation walks through the techniques and Python code found in the jmpex package's code, which is the code used to bridge between JSL and R using Python. It gives in-depth coverage of parameters passing between the three environments: JSL, R, Python. It also showcases the power of the JMP and Python integration, its design, techniques and hidden corners. Attendees are empowered to use...

Skill level: intermediate

Paul Nelson JMP

LLM‑Style Issue Prediction Using JMP Neural Modeling (2026-US-30MP-2970) Manufacturing-fleet issue resolution often relies on manual interpretation of unstructured engineering logs, where outcomes are influenced by inconsistent descriptions or subjective categorization. This study demonstrates how neural predictive modeling in JMP 19 can be applied as an LLM‑style inference framework to improve issue prediction consistency.Rather than generating free‑text responses, thi...

Skill level: intermediate

Paulo Herrera Applied Materials

The Power of Simulation In Design of Experiments (2026-US-30MP-2885) When designing an experiment, you might not be ready to run the experiment and collect the real data for the results. The Simulate Responses feature in JMP allows you to create data to mimic a real-world response, as a stand-in for the data until the experiment has been completed. This presentation discusses the benefits of simulation when creating a designed experiment; it also includes ...

Skill level: beginner

Jacob Rhyne and others

Practical Bayesian Optimization in the Fab (2026-US-30MP-2920) Modern semiconductor experiments are constrained by more than statistics. Lot sizes, review cycles, and operational risk all limit how much experimentation can realistically happen in production. At the same time, practitioners are often asked to choose between two powerful – but imperfect – approaches: design of experiments (DOE), which is efficient but model-dependent, and Bayesian optimization, ...

Skill level: intermediate

Mike Anderson JMP

Application-based Empirical Modeling of Semiconductor Circuit Reliability (2026-US-30MP-2921) With aggressive technology scaling and novel device architectures in modern semiconductor technologies, it has become challenging to make input/output (I/O) transistors that can support higher voltages (e.g., 3.3 V). However, I/O operation at higher voltages is needed to allow the chip to communicate with other devices on the board, which may have been fabricated with older-generation technologies ...

Skill level: intermediate

Mehul Shroff and others

IDEXX QueryLab Dx: From Natural Language to JMP Live (2026-US-30MP-2910) IDEXX QueryLab Dx introduces a new approach to expanding access to analytics by transforming natural-language questions into fully deployable analytical workflows within JMP. Rather than limiting AI to query assistance, this system extends the pipeline from intent to execution – generating governed SQL from structured data artifacts and automatically producing JMP Scripting Language (JSL) wrap...

Skill level: intermediate

Chris Pillsbury IDEXX Laboratories

Time Flies: Querying and Exploring Large Time-Dependent Data Sets (2026-US-30MP-2969) Defectivity reduction efforts drive large-scale investigations of historical process data in photoresist manufacturing. For production engineers at Inpria, this data is stored as time series data on an SQL database. Data is recorded from equipment sensors every two seconds. As a result, large-scale investigations of new data metrics are time-consuming and present serious data integrity challenges. ...

Skill level: beginner

Jack Phelps Inpria Corporation

When the Question is 'Is It Comparable?', JMP Has the Answer (2026-US-PO-2964) Many modern manufacturing challenges are less a question of “Is it significant?” and more a question of “Is it comparable?”. This unique perspective, particularly in regulated environments, demands the flexibility of JMP’s recent statistical equivalency capability upgrades and JSL to answer always distinct, comparability questions. JMP can answer such customer questions as: How does equivalence com...

Skill level: intermediate

Andrew Karl and others

JMP Bayesian Optimization Case Study with Complex Formulation Constraints (2026-US-PO-2981) Bayesian optimization is a powerful statistical approach that accelerates discovery in molecules, formulations, products, packaging, and processes by efficiently guiding sequential experiments, making it ideal for costly or time-consuming studies. This presentation demonstrates the applications of JMP Bayseian Optimization to optimize product and formulation design. We showcase a complex case study...

Skill level: advanced

Fangyi Luo and others

Exploring Patient Patterns Within Population Trends in Treatment Response (2026-US-PO-2977) Pharmacokinetic (PK) and electrocardiogram (ECG) measurements from clinical trials provide critical insight into drug behavior and cardiac safety. PK data describe how drug concentrations change over time, while ECG data, particularly heart rate-corrected QT intervals (QTc), indicate cardiac risk. Both data types are longitudinal and are routinely summarized at the population level in ways that can...

Skill level: intermediate

Divya Tailor Gillings School of Global Public Health

Stop Missing Out: Reliability Tools Aren't Just for Reliability Engineers (2026-US-PO-2905) Many of us have spent too much of our lives thinking that the reliability tools in JMP are just for catastrophic failures, product testing labs, or other “not my responsibility” situations. In fact, we likely already have the exact types of data that reliability methods are designed to manage. We just aren’t using these methods because we don’t recognize their applicability. This presentation serve...

Skill level: intermediate

Jed Campbell JMP

Testing Complex Systems with Hard‑to‑Change Factors Using Covering Arrays (2026-US-PO-2953) Testing is a critical component of complex systems engineering, yet test engineers are rarely able to evaluate every possible combination of system inputs. Growing system complexity, limited budgets, and tight schedules demand more strategic approaches to test design. The challenge becomes even greater when certain inputs or factors are expensive or time‑consuming to change, forcing engineers to ca...

Skill level: intermediate

Bill Fisher JMP

Midnight at Sea: Saving a $1M/Day Operation with JMP and MCS (2026-US-PO-2909) Executing a DOE 100 miles offshore on a moving vessel is rarely "textbook." When unverified epoxy coating threatened the integrity of a critical 4 million pound bolt connection, we faced a midnight decision: halt million-dollar-a-day operations or prove the system was safe. Everything that could go wrong did. Initial testing suggested a special-cause wrench bias, only to discover a data-entry swap ...

Skill level: beginner

David Skaarsjoe and others

Genomics Studio (2026-US-PO-2888) The rapid growth of high-throughput omics technologies has created a need for integrated, user-friendly tools that enable robust and scalable analysis of complex biological data. In JMP Pro, we introduce Genomics Studio, a new add-in that organizes end-to-end omics analysis around six biological domains — Genetics, RNA-seq, Microbiome, Single Cell, Proteomics, and Multi-Omics — each opening into it...

Skill level: intermediate

Farzaneh Rastegari and others

Ensuring Measurement Agreement with JMP for Reliable Veterinary Diagnostics (2026-US-PO-2936) IDEXX Laboratories, Inc. develops and delivers diagnostic solutions for companion animals, livestock, poultry, water testing, and dairy markets. Ensuring high‑quality, reliable diagnostic results requires rigorous evaluation of instrument accuracy and precision. This poster presents a case study on developing a JMP add‑in to streamline measurement agreement analyses and support timely decision...

Skill level: beginner

Wenyu Su and others

Defining Optimal Operating Regions in Process Validation (2026-US-30MP-2965) Process validation, such as Quality by Design (QbD) approaches, relies on designed experiments to understand process behavior and define optimal operating regions. These efforts commonly progress from scouting and screening studies to response surface methods, with regulated industries requiring clear definition of Proven Acceptable Ranges (PARs) for Critical Process Parameters (CPPs). At Gore, we ...

Skill level: intermediate

John Szarka W. L. Gore & Associates

On the Road Again: Using JMP Workflow to Identify U.S. Commuting Zones (2026-US-30MP-2876) Commuting zones were introduced in the 1990s as a geographic unit to help explain economic ties. They are not tied to population size (like metropolitan areas), so they can be defined for the entire country. Since their inception, the methodology used in their construction has remained unchanged. In this talk, I share my attempts to explore an alternative approach that uses more recent network clus...

Skill level: intermediate

Caleb King JMP

Our JMP Live Adoption Journey: An Engineer-Led Path From Pilot to Scale (2026-US-30MP-2937) Day‑to‑day success as engineers depends on our ability to communicate reports with sufficient fidelity to the original problem statement and the resulting insight. For more than 35 years, JMP has enabled us to express engineering knowledge through rich visual reports that are interactive with the underlying data. Historically, however, our collaborators cannot follow our path of discovery unless th...

Skill level: intermediate

Kevin Gaffney and others

Experimental Design Training Meets Bayesian Optimization: A PPG Case Study (2026-US-30MP-2944) Balancing multiple performance properties while minimizing experimental effort is a common challenge in industrial R&D. Bayesian optimization provides a powerful framework for adaptive, sequential experimentation in complex, nonlinear response spaces. This presentation evaluates the Bayesian Optimization platform in JMP Pro using a realistic formulation simulation developed for PPG’s Sigma Logi...

Skill level: beginner

David Fenn and others

Can We Talk…About Sample Size? (2026-US-30MP-2930) As soon as we start to learn about statistical tools, such as those enabled with JMP, the concept of sampling and sample size becomes important. Regulated industries, such as medical devices, require a justification of sample size determination when making design or process changes, as well as for verification/validation of performance. There is a nearly mystical relationship between sample size an...

Skill level: beginner

Dale Human ray Generation

Functional Data Meets Mixture DOE in a Food Production Case Study (2026-US-30MP-2974) Food texture plays a critical role in consumer acceptance, requiring careful control of viscosity to achieve the desired sensory experience. At the same time, food and beverage manufacturers must ensure products can be processed efficiently to minimize waste while maintaining quality and affordability. Achieving this balance becomes especially challenging when formulation changes are required. This...

Skill level: intermediate

Curtis Park HP Hood

From JMP to JMP Live: Deploying Automated Analytics Workflows (2026-US-30MP-2954) Many JMP users use workflow automation to repeat analyses, often without writing code. These automated workflows save time, improve consistency, and help standardize data analysis processes across teams. Tools such as Query Builder and Workflow Builder make it easy to automate key steps in the analytics life cycle – particularly data acquisition and data preparation. JMP Live extends these cap...

Skill level: intermediate

Monique Roerdink Lander and others

Structuring Curve and Spectral Instrument Data for Exploration and Modeling (2026-US-30MP-2923) Instruments often primarily designed for data collection produce rich curve and spectral‑based data, but their associated software typically supports only limited, domain‑specific analysis. Once loaded into JMP, even small changes in how the data is structured can enable far more flexible and interactive analysis. This presentation shows how JMP is used interactively to structure instrument output ...

Skill level: intermediate

Ryan Cooper and others

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