LIVE WEBINAR
Modern Experimentation for Smarter Chemistry: From Experiments to Models and Beyond
Date: Tuesday May 19
Time: 2 p.m. ET | 11 a.m. PT
Duration: 45 minutes
Registration: FREE
Chemical industry teams are under increasing pressure to move faster while managing cost, quality, and extracting meaning from increasingly complex data. In this webinar, we explore how modern approaches to design of experiments (DOE) help chemists and process scientists extract meaningful insight from fewer experimental runs, as well as powerful tools to turn data into actionable decisions sooner.
Interactive tools such as profilers allow scientists and engineers to explore factor effects, interactions, trade-offs, and costs in real time. JMP experts demonstrate how to translate DOE results to robust operating conditions suited for complex responses, including curved data and spectral or multiple responses.
The session also highlights active learning DOE approaches that support meaningful analysis after only a few experimental runs which is ideal when time, material, or budget constraints are tight. Throughout the webinar, we show how to take your chemical industry challenges and turn them into actionable, decision-ready knowledge.
Learn how to:
• Visualize DOE results dynamically using interactive profilers to understand factor effects and trade offs.
• Incorporate cost directly into experimental optimization and visualization to support economically informed decisions.
• Model multiple responses and functional data using modern DOE methods.
• Apply active learning DOE strategies to gain actionable insight early under tight timelines.
Mark your calendar and register.
Can’t join us live? No problem! Register anyway and you’ll receive the recording after the event.
About the Presenters
Lovy Singh,
Systems Engineer
Lovy Singh holds a master’s degree in chemistry from the University of Oregon and has worked across multiple high-tech and scientific fields, including drug delivery, small-molecule fluorescent probes, semiconductor manufacturing, and advanced lithography. His experience includes roles at Bend Research, Microchip Technology, and Keysight Technologies. He has also consulted in the cannabis industry on THC-to-CBN conversion and contributed to neural implant research at the University of Oregon, applying semiconductor thin-film methods alongside two-photon lithography to develop micron-scale 3D neural devices. Since 2022, Singh has been with JMP as a Systems Engineer, helping customers explore data, improve processes, and communicate insights effectively.
Monique Roerdink Lander,
Systems Engineer
Monique Roerdink Lander is a Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. As such, she is the technical contact for users and prospective users, providing training on how to do things in JMP. Roerdink Lander has a doctorate in materials science and technology of polymers from the University of Twente in the Netherlands. Prior to joining JMP, she spent more than a decade in product development in R&D for Ecolab, most recently as a Senior Staff Scientist. A JMP user for a decade, she has more than 20 peer-reviewed papers and patents.
Bill Worley,
Principal Systems Engineer
Bill Worley is a Principal Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software designed for scientists and engineers. He supports sales and customer development as part of the U.S. Central Strategic Chemical Team.
Before joining JMP, Worley spent six years as a Technology Leader at Procter & Gamble, where he oversaw the use of JMP for design of experiments and statistical data analysis. He also trained P&G engineers and scientists in all aspects of empirical modeling and optimization. Worley is an analytical chemist by training with a master’s in chemistry from the University of Cincinnati. He has held research roles at P&G, BASF, and Unilever.