What the Past Teaches Us About Future Experiments скачать в хорошем качестве

What the Past Teaches Us About Future Experiments

To explore what the future of multidimensional experiments might look like, we decided to look back. In this episode, we explored how different multi-dimensional (aka Design of Experiments, or DOE) methods have come about to date. Then, we pondered how these different methods, together with tech and software innovations, have brought both opportunities to scale multidimensional experimentation, and exciting questions on the best way to go about it. Conversation highlights 00:00 - Introduction 01:04 - The question mark around automation: what to do with 1000+ runs 10:15 - History of multidimensional (Design of Experiments / DOE) methods to date 10:58 - Era 1: Factorial designs came about, and benefited agriculture 15:12 - Era 2: Response surface methods emerged in process industries 18:17 - Era 3: Software packages helped design the “optimal” experiment 21:29 - “DOE 4.0”: Bayesian optimization: the pros and cons for biology ___ This is Markus and Phil, a biologist and a statistician, and you’re watching The Next Experiment. We discuss the best experiments to cut through biological complexity. Join us to explore the shape of the next experiment. Markus is the CEO and co-founder of Synthace, holds a PhD in Biochemistry from Durham University, and realized early in his career on how much progress is held back by one-dimensional, manual experimentation. He founded Synthace to explore ways we can do better biology—a mission that he and his team have been pursuing ever since. Phil Kay leads the global technical enablement team at JMP Statistical Discovery, holds a PhD in chemistry, and has extensive experience in statistics and experimentation within the chemical industry. As a chemist, he encountered Design of Experiments and recognized its potential to transform the way experiments are implemented. This sparked a lasting commitment to advocating for the methodology and its practical applications.