![Eric Martin](https://cdn.asp.events/CLIENT_HubXchan_638DBA0F_0C6E_8D3C_A444829FC0C4B73E/sites/HubXChange/media/libraries/experts/Eric-Martin_headshot.jpg/fit-in/500x500/filters:no_upscale())
![](https://cdn.asp.events/CLIENT_HubXchan_638DBA0F_0C6E_8D3C_A444829FC0C4B73E/sites/HubXChange/media/libraries/experts/Novartis-Logo.png)
Eric Martin
Director - Computational Chemistry,
Novartis
Eric Martin has a Ph.D. in physical organic chemistry from Yale University. He has worked in computational drug design and herbicide design for nearly 40 years at Dow, DowElanco, Chiron and Novartis. He is currently developing novel methodologies for two areas of drug discovery: 1) Developing “Profile-QSAR”, a massively multitask machine learning method that builds experimental-quality virtual screening models for over 9000 IC50 assays, and 2) “rational oral bioavailability design” during lead optimization by applying global sensitivity analysis to physiologically-based pharmacokinetics simulations. Eric was awarded the lifetime title of Novartis Leading Scientist for the former.