Advances in data driven techniques (Machine Learning) offer a wide range of opportunities for the classical discovery-development cycle in pharmaceutical Research & Development. Integrating algorithms with robotics can bring the field closer to autonomous synthesis, and combining synthesis equipment, analysis and algorithms can enable automated optimization of reaction outcomes. Together the advances in silico and in hardware can help reduce the tedium of planning and experimentation and enable scientists to become more creative and productive.
A “Talks at the Square” event. This series by BioInnovation Institute (BII) has a key focus on spreading ideas and knowledge in life science entrepreneurship to inspire researchers to bring science out of the lab and into the economy. The event is free of charge. Please learn more and sign up here.
Meet Klavs F. Jensen is a Warren K. Lewis Professor in Chemical Engineering and Materials Science and Engineering at the Massachusetts Institute of Technology. From 2007- July 2015 he was the Head of the Department of Chemical Engineering. His research interests include microfluidics, on-demand multistep synthesis, methods for automated synthesis, and machine learning techniques for chemical synthesis and interpreting large chemical data sets. He is a co-director of MIT’s Pharma AI consortium.
Tuesday January 21st, 2020. 15:00 – 16:30
BioInnovation Institute, Ole Maaløes Vej 3, 3. floor, 2200 København
Anyone with an interest in bringing science out of the lab and into the economy.