ON-DEMAND WEBINAR
Gaining Insight into Diverse Chemical Challenges with Designed Experiments
DOE is a structured approach to study the relationships between multiple input factors and key outputs. While it sounds like something any scientist would want to use, most experimental approaches explore one-factor-at-a-time. This method appears structured but often results either in not finding true relations between variables or in delivering misleading results.
During the session, learn how DOE successfully overcame several diverse chemical industry situations that saved time and resources, facilitated scientific breakthroughs, and reaped financial benefits.
Key learning objectives:
- Screening designs for understanding complex polymerization kinetics.
- Specialized designs for evaluating raw materials used in consumer product formulations.
- DOEs that optimize pharmaceutical and resin formulations.
- A new class of designs that can optimize chromatography method development.
About the presenters
Monique Roerdink Lander, JMP Statistical Discovery
Monique Roerdink Lander is a Systems Engineer for JMP. As such, she is the technical contact for users and prospective users, providing training for them 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.
Scott Allen, JMP Statistical Discovery
Scott Allen is a Senior Systems Engineer at JMP Statistical Discovery, supporting customers in the Ohio Valley region of the United States. He has more than 14 years of experience in product and process development for catalysis, chemistry, polymers, and sustainable technologies. Before joining JMP, in his role as an R&D and product development leader, Allen was a strong advocate for data-driven decision making and the use of statistics and design of experiments (DOE) to accelerate innovation and product development. In his current role, he enjoys helping customers explore their data and develop their capabilities in DOE and predictive modeling. Allen received his Ph.D. in chemistry from Cornell University and a bachelor's in chemistry from Virginia Commonwealth University.
PRESENTED IN PARTNERSHIP WITH C&EN MEDIA GROUP
This virtual webinar was moderated by Melissa O'Meara, Forensic Science Consultant with C&EN Media Group. The on-demand event is now available courtesy of a joint partnership with C&EN Media Group. Visit C&EN Media Group at https://cen.acs.org/index.html.