ML for Chemistry

by Dr. Marwin Segler from Microsoft Research


Topic: Machine Learning for Chemical Synthesis Planning and Molecular Design


Abstract:
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Topic Machine Learning for Chemical Synthesis Planning and Molecular Design
   
Slides TBA
   
When TBA
   
Zoom https://us02web.zoom.us/j/85216309906?pwd=cVB0SjNDR2tYOGhIT0xqaGZ2TzlKUT09
   
Video Recording TBA

Speaker:

Dr. Marwin Segler is a team lead at Microsoft Research AI4Science, working at the intersection of chemistry, drug discovery, and machine learning. Prior, he was at BenevolentAI (London), and received his PhD in chemistry from the University of Muenster. Marwin pioneered modern machine learning for molecular design, and chemical synthesis planning. His research interests are in computer-assisted scientific discovery, algorithm development in computational chemistry and AI, and applications in organic synthesis and drug discovery.