Live In-Person Event
Accelera la tua innovazione: DOE e Bayesian Optimization
Date: 18 June
Time: 09:30-15:15 CEST
Location: SAS Institute srl
Via Darwin 20/22, 20143 Milano
Registration: Free, but registration is required.
Make Your Research More Efficient, Insightful, and Impactful
Traditional one-factor-at-a-time (OFAT) approaches are often slow, resource-intensive, and inconclusive. In today’s fast-moving research environment, teams need smarter ways to generate insights, optimize processes, and make confident decisions faster.
Discover a Modern Approach to Experimentation
Join us for an interactive in-person seminar exploring how modern data strategies and Design of Experiments (DOE) can help you:
- Reduce the number of experiments while learning more from your data
- Gain clearer, more reliable insights
- Accelerate innovation and process improvement
- Make faster, data-driven decisions with greater confidence
What You’ll Learn
- How to align data and processes for better outcomes
- How DOE helps you optimize experiments efficiently
- How advanced methods such as Bayesian Optimization can further accelerate discovery and decision-making
Go Hands-On with Bayesian Optimization
In the afternoon, join our optional hands-on workshop to explore Bayesian Optimization in practice. You’ll learn how this methodology uses previous experimental results to efficiently identify optimal conditions while reducing the number of required experiments.
Learn from Experts. See It in Action.
This is more than a presentation — it’s an opportunity to engage directly with JMP specialists, see practical real-world examples, ask questions during live Q&A sessions, and connect with peers facing similar challenges.
Walk away with ideas and techniques you can apply immediately to your own research and development projects.
Reserve Your Spot Today
Seats are limited to ensure an interactive experience.
Agenda
| Time | Topic | Presenter |
| 09:30 | Registration and Coffee | |
| 10:00 | Welcome and Introductions |
Paola Diana, JMP Stefano Cabot, JMP |
| 10:05 | Accelerate Your Innovation with Design of Experiments | Marco Salfi, JMP |
| 10:45 | Break and networking | |
| 11:05 | Bayesian Optimization: From space filling to focus on responses | Marco Salfi, JMP |
| 12:00 | Lunch | |
| 13:15 | Workshop on Bayesian Optimization | Marco Salfi, JMP |
| 14:45 | Q&A |
Paola Diana, JMP Stefano Cabot, JMP |
| 15:00 | Wrap up |
This is more than a presentation — it’s an opportunity to engage directly with JMP specialists, see practical real-world examples, ask questions during live Q&A sessions, and connect with peers facing similar challenges.
Walk away with ideas and techniques you can apply immediately to your own research and development projects.
Reserve Your Spot Today
Seats are limited to ensure an interactive experience.
Marco Salfi
Senior Systems Engineer
Marco Salfi joined JMP Statistical Discovery as Senior Systems Engineer after extensive experience in the oil and gas industry. He held various roles in ExxonMobil in three different countries (Italy, Belgium, and the U.S.) focusing on manufacturing and supply chain.
Salfi has a master’s in energy engineering; he completed an executive program in digital transformation from Politecnico di Milano in Italy.