Dr. Omid Shayestehpour

I am a postdoctoral researcher in theoretical chemistry at Paderborn University with a PhD from Leipzig University. Prior to my doctoral studies, I obtained a Master’s degree in materials science from Chemnitz University of Technology. 

A primary focus of my work is the development of computational methods to accelerate first-principles materials simulations using machine learning, as well as the development of atomistic models for condensed-phase systems and the investigation of their fundamental properties through molecular dynamics simulations.

Besides my main research topics, I am more broadly interested in geometric deep learning, uncertainty quantification in machine learning, and deep learning for the physical sciences.