Kasper Krunderup Jakobsen

I am a PhD student working with Eli N. Weinstein in the High-Information Chemistry group. My research focuses on Bayesian optimal experimental design for the molecular sciences: choosing which experiment to conduct, so that you gain as much information as possible.

I am interested in designing machine learning methods which accelerate our ability to dicover rare molecular properties. I’m interested in a broad range of applications, both small molecules, metal-organic frameworks, aptamers, enzymes, and more.