In research and development, the difference between slow progress and breakthrough discovery often comes down to how experiments are designed. Too often, scientists and engineers fall back on “low-dimensional foraging” – searching one factor at a time while ignoring the full multidimensional space. This instinctive approach may feel natural, but it is inefficient, misleading, and ultimately a disaster for data discovery.
Getting people to change is hard work – we’re up against millions of years of evolutionary history. The solution? Give them the right tools. Tools that are designed for exploring multidimensional spaces. And make it easier to use those tools than to return to low-dimensional foraging. Enter interactive data exploration, automation, robotics, and education.
In this interactive session, we will:
Hear from Dennis Lendrem, experienced researcher and author, on the real-world pitfalls of traditional experimentation.
Watch JMP system engineers demonstrate how DOE can reveal patterns missed by trial-and-error, helping organisations innovate more effectively.
Get a brief introduction to Bayesian Optimisation — an emerging approach that can further guide experimenters to explore complex spaces more efficiently.
Along the way, you’ll learn how these methods not only improve efficiency but also better align with the way scientists naturally think and explore.
Don’t miss this interactive session featuring Dennis Lendrem – acclaimed author of Apes in Lab Coats and the newly released Gorillas in Suits – along with live demonstrations, engaging polls and a closing Q&A session.
Join us to move from “lost in space” experimentation to a more strategic and impactful way of working.
Dennis Lendrem
Dennis Lendrem is a British scientist, statistician, and author with more than 40 years of experience observing and collaborating with research communities worldwide. He has worked across research centres in the UK, Singapore, and the United States, studying the behaviours of scientists and engineers in naturalistic settings within academia, industry, and the public sectors.
Formerly the editor of Pharmaceutical Statistics and a contributor to New Scientist and The Economist, Lendrem has shaped discussions on science and practice for both professional and wider audiences. His acclaimed book, Apes in Lab Coats, offers a fascinating lens on the cultural and organisational dynamics of scientists, blending behavioural insights with statistical analysis. His latest book, Gorillas in Suits, introduces us to the mysterious underworld of R&D management charting the progress of our apes in lab coats as they wrestle with the challenges of scale-up, tech transfer, and manufacturing.
Ben Barroso-Ingham
Ben Barroso-Ingham is a Systems Engineer at JMP Statistical Discovery. Previously, he has held roles as a fermentation/upstream scientist at Elanco Animal Health and Allergan Biologics, focusing on developing small-scale microbial fermentation models and the application of design of experiments.
He has a PhD in chemical engineering from the University of Manchester, where he focused on the use of design of experiments (DoE) in fermentation optimisation and analytical method development.
Owen Jonathan
Owen Jonathan is a Senior Associate Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. His role involves identifying critical business issues of customers in the UK and guiding them as they adopt data-driven solutions for their organisations. Jonathan has a master’s in systems and synthetic biology from Imperial College London. Prior to his current role, he joined JMP as an intern where he identified DoE applications in the field of biotechnology and delivered DoE workshops with relevant case studies to synthetic biologists.
JMPSince 1989, JMP has combined interactive visualization with powerful statistics to help people see their data more clearly. And when data is better understood, insight-driven improvements are sure to follow. We’ve seen scientists and engineers use JMP software to advance green-energy technologies, speed cancer therapies to market, and build high-performance infrared detectors for probes that traverse the unconquered vastness of deep space. It’s spelled J-M-P but pronounced “jump,” suggesting a leap in interactivity and innovation. JMP is a SAS company.View full profile
