November Cambridge Cheminformatics Talk

Image credit: Zachary del Rosario

I was invited to give a talk at the November Cambridge Cheminformatics meeting. There I discussed lessons learned from my Assessing the Frontier paper; namely, the unsuitability of traditional model accuracy metrics for judging the efficacy of ML for materials discovery. Links to slides and a video recording are both available.

Zachary del Rosario
Zachary del Rosario
Assistant Professor of Engineering and Applied Statistics

Empowering scientists and engineers to reason under uncertainty