Live In-Person Event
Discovery Seminar Series Twin Cities: Smarter Experiments for Faster Innovation
Join us for an enlightening, in-person event in the Twin Cities and explore strategies to enhance innovation.
Date: Wednesday, May 13
Time: 1:00-4:00 p.m.
Location: Pittsburgh Blue Steakhouse – Maple Grove
11900 Main Street
Maple Grove, MN 55369
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.
Food and beverages provided. We hope to see you there!
Agenda
1:00–1:35 p.m.
Arrival, registration, and networking.
1:35– 1:45 p.m.
Introductions.
1:45– 2:35 p.m.
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.
2:35– 2:45 p.m.
Break.
2:45-3:35 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.
3:35-4:00 p.m.