The Physics of Data with Alpha Lee - #377
Published:May 21, 2020 18:10
•1 min read
•Practical AI
Analysis
This podcast episode from Practical AI features Alpha Lee, a Winton Advanced Fellow in Physics at the University of Cambridge. The discussion focuses on Lee's research, which spans data-driven drug discovery, material discovery, and the physical analysis of machine learning. The episode explores the parallels and distinctions between drug discovery and material science, and also touches upon Lee's startup, PostEra, which provides medicinal chemistry services leveraging machine learning. The conversation promises to be insightful, bridging the gap between physics, data science, and practical applications in areas like pharmaceuticals and materials.
Key Takeaways
Reference
“We discuss the similarities and differences between drug discovery and material science, his startup, PostEra which offers medicinal chemistry as a service powered by machine learning, and much more”