Live In-Person Event
Smarter Experiments for Faster Innovation
Join us for an enlightening, in-person event in Albuquerque, NM, and explore strategies to enhance innovation.
Date: Wednesday, August 26
Time: 8:15 a.m.-12:00 p.m.
Venue: Nuclear Museum of Science and History
Location: 601 Eubank Blvd SE
Albuquerque, NM 87123
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 strengthening day-to-day decision making. 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.
Agenda
8:15–8:45 a.m.
Registration, refreshments, and networking
8:45–11:30 a.m.
Discovering Insights from Historical Data: Exploratory Analysis and Modeling
Getting to know your data and preparing it for analysis are vital for uncovering important insights. This session covers importing historical data from Excel, graphical data exploration to uncover patterns, automating processes with Workflow Builder, using Predictor Screening to identify the dominant factors in your process, and building initial models.
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.
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.
11:30 a.m.-12:00 p.m.