Live In-Person Event
Discovery Seminar Series Madison: Smarter Experiments for Faster Innovation
Join us for an enlightening, in-person event in Madison, and explore strategies to enhance innovation.
Date: Thursday, May 28
Time: 10:20 a.m.-2:00 p.m.
Location: University of Wisconsin - Memorial Union
800 Langdon Street
Madison, WI, 53706
Registration: Free, but registration is required
Innovation thrives when organizations move seamlessly from exploration to execution. Whether you work in research, process development, engineering, or manufacturing, the ability to design smarter experiments, identify optimal conditions quickly, and maintain control during scale-up is essential for delivering consistent, high-value outcomes.
This in-person event brings together scientists, engineers, and operational leaders to explore practical, data-driven approaches that accelerate discovery while strengthen day-to-day decision making. Join us to learn how integrating experimentation and monitoring workflows unify teams, reduce development cycles, and help you move from ideas to impact faster and with greater confidence.
Refreshments and beverages provided. We hope to see you there!
Agenda
10:20–10:45 a.m.
Check in at the Multi Cultural Greek Council Room
10:45–11:00 a.m.
Introductions
11:00 a.m.-12:00 noon
Session I: Innovating with Design of Experiments: Turning Data into Insight Faster
Finding the right experimental conditions quickly sits at the heart of innovation across R&D. This session highlights how Design of Experiments (DOE) helps teams uncover key drivers and interactions while efficiently navigating complex design spaces. Learn practical strategies to maximize learning, improve robustness, and move beyond guess‑and‑check experimentation. See how DOE builds a strong foundation for confident scale‑up and manufacturing success.
12:00 noon-12:45 p.m.
Break for lunch
12:45-1:45 p.m.
Session II: Innovating Through Bayesian Optimization: Accelerating Breakthroughs with Fewer Experiments
When experiments are costly or complex, innovation depends on finding optimal conditions faster. This session explores how Bayesian optimization adaptively guides experimentation to reach breakthroughs with fewer trials. Discover how data‑driven learning focuses effort where it matters most and complements DOE strategies. Ideal for optimizing formulations, materials, processes, or biological systems where speed and efficiency are critical.
1:45-2:00 p.m.