Live In-Person Event
Smarter Experiments, Faster Breakthroughs: Accelerating Development with Modern Experimentation
Date: 8 September
Time: 10:00-14:00 CEST
Location: Oslo Science Park, Oslo
Registration: Free, but registration is required.
Struggling with unproductive research methods?
Traditional one-factor-at-a-time (OFAT) approaches are slow, inefficient, and often inconclusive. In today’s fast-paced research environment, you need faster insights and better decisions.
Discover a modern approach to experimentation
Join our seminar to learn how modern data strategies and design of experiments (DOE) can help you:
- Reduce the number of experiments.
- Gain clearer, more reliable insights.
- Accelerate innovation and process improvement.
Learn:
- How to align data and processes for better outcomes.
- How data visualization reveals deeper insights.
- How DOE helps you optimize experiments efficiently.
- How advanced methods – such as active learning – can guide smarter experimentation.
Learn from experts. See it in action.
Get practical examples, ask questions during the live Q&A, and connect with JMP specialists during our Meet the Experts session.
Reserve your spot now! Limited seats are available.
Agenda
| Time | Topic | Presenter |
| 10:00 | Registration and coffee | |
| 10:30 | Welcome and introduction | Willem Clow, JMP Statistical Discovery |
| 10:45 |
Faster Development with Modern Design of Experiments Learn how structured experimental design can uncover key process drivers and interactions while minimizing experimental effort. |
Astrid Ruck & Emmanuel Romeu, JMP Statistical Discovery |
| 11:45 | Lunch | |
| 12:45 |
Next-Generation Experimentation: Functional DOE and Bayesian Optimization Explore advanced experimentation strategies that actively guide your next experiment to reach optimal conditions faster. |
Astrid Ruck & Emmanuel Romeu, JMP Statistical Discovery |
| 13:45 | Q&A | |
| 14:00 | Meet the Experts |
Speakers
Astrid Ruck
JMP Statistical Discovery
Astrid Ruck is a Senior Systems Engineer at JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software designed for scientists and engineers. In her current role, Ruck helps organizations drive efficiency, enable data-driven innovation, and solve complex technical challenges. Her areas of expertise include Design for Six Sigma, advanced DOE, reliability, MSA, and multivariate analytics. Before joining JMP, Ruck worked as a Senior Statistics Leader at Autoliv, the global leader in automotive safety systems. During her 20+ year career at Autoliv, Ruck helped develop global statistical standards, led an Industry 4.0 data automation initiative, and established JMP as an enterprisewide analytics platform. She was also recognized as a Master Black Belt, Design for Six Sigma (DfSS) curriculum architect, and served as a trusted adviser supporting global product development and quality improvement across all divisions at the company. Ruck holds a Ph.D. in mathematics from the University of Hamburg.
Emmanuel Romeu
JMP Statistical Discovery
Emmanuel Romeu is a Senior Systems Engineer for JMP, serving customers in the chemical industries in France, Benelux, and the UK. He joined JMP after more than 25 years at Beckman-Coulter, developing diagnostic tools for fertility, bone, and infectious diseases. While there, he began using JMP, expanding his expertise so that he could provide statistical guidance to colleagues to accelerate development; improve product quality and manufacturing reliability through DOE; and facilitate complex regulatory submissions to the FDA, cFDA, and European Commission.