Live In-Person Event
Smarter Experiments, Faster Breakthroughs: Accelerating Development with Modern Experimentation
Date: 10 June
Time: 10:00-14:00 CEST
Location: Memox SBB, Basel, Switzerland
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 | Simone Raab & Alexander Donner, 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. |
Phil Kay, Director, Presales Support, JMP Statistical Discovery |
| 12:00 | Lunch | |
| 13:00 |
Next-Generation Experimentation: Functional DoE and Bayesian Optimization Explore advanced experimentation strategies that actively guide your next experiment to reach optimal conditions faster. |
Lisa Daroque, Systems Engineer, JMP Statistical Discovery |
| 13:45 | Q&A | |
| 14:00 | Meet the Experts |
Speakers
Phil Kay
JMP Statistical Discovery
Phil Kay is the Director of Presales Support for JMP Statistical Discovery, a subsidiary of SAS. His job is to understand the science and engineering challenges and provide guidance on data analytic solutions for industrial organisations around the world.
Previously, Kay was a key scientist in the development of numerous processes for the manufacture of colorants for digital printing at FujiFilm Imaging Colorants. He has a master’s degree in applied statistics with a dissertation on design of experiments. He also has a master’s and Ph.D. in chemistry.
Kay is a Fellow of the Royal Statistical Society, a Chartered Chemist, and a member of the committee for the Process Chemistry and Technology Group with the Royal Society of Chemistry.
He loves showing people how data analytics enables better science. Follow Phil Kay, Evangelist for Data Analytics, on LinkedIn.
Lisa Daroque
JMP Statistical Discovery
Lisa Daroque is a Systems Engineer at JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. In this role, she helps current and future users understand and get excited about JMP. Prior to JMP, Daroque was a product engineer in the semiconductor industry. She has a master’s in physics.