TECHNICALLY SPEAKING
ON-DEMAND WEBINAR
Applied Bayesian Optimization: Deciphering Complexity in Experimental Design
How can you innovate faster, solve problems more quickly, shorten time to market, and stay ahead of the competition? Complex problems often involve multiple inputs, and it’s rarely clear which ones meaningfully affect outcomes. Natural variation in processes can further obscure the path forward, leading to trials that fail to provide direction.
This webinar explores how to get better results faster using Bayesian optimization, a technique that is more powerful than traditional alternatives yet easy and straightforward to apply. Unlike conventional designs, this method considers your goals when recommending new experiments, guiding you along a shorter path toward your desired outcome – whether in research, development, or manufacturing.
During this webinar, learn:
- How to identify the most informative experiments to conduct next to accelerate progress.
- Practical applications in R&D and manufacturing settings.
- Benefits such as faster development, reduced energy and material use, and lower costs.
- Tools and techniques you can begin using immediately.
A failed experiment doesn’t always mean starting over from scratch. This session introduces an approachable framework to turn incomplete, messy, or even failed experiments into valuable opportunities for learning and innovation.
The webinar will conclude with an audience Q&A.
About the presenters
Byron Wingerd helps people understand how to apply data science and statistics to learn more from their data to make better decisions in the life sciences space. Before joining JMP, Wingerd worked in biologics manufacturing for the pharmaceutical industry. He was a Process Engineer for Merck. As a Senior Scientist at Emergent BioSolutions, he was responsible for vaccine production and development. In that role, he used Six Sigma methodology for improving vaccine manufacturing processes. Wingerd also was the subject matter expert for the company’s BioThrax vaccine.
Rashmi Deshpande is a seasoned statistician with over 11 years of experience in the biopharmaceutical industry, specializing in statistical applications across manufacturing, analytical sciences & technology, and quality control. She has strong experience in working collaboratively with cross-functional teams and effectively communicating complex statistical insights to diverse audiences - including management, scientists, and regulatory bodies.