Jonny Proppe

+++ [July 18, 2020] I am honored to be recipient of the IBM Research Forschungspreis 2020, awarded for my doctoral thesis Computational Systems Chemistry with Rigorous Uncertainty Quantification. I thank Prof. Dr. Markus Reiher and my former colleagues at ETH Zürich for their support. +++

+++ [July 17, 2020] Our review on Machine-learned potentials for next-generation matter simulations has been accepted to be published in Nature Materials. I thank Prof. Dr. Pascal Friederich, Dr. Florian Häse, and Prof. Dr. Alán Aspuru-Guzik for working with me on this exciting project. +++

+++ [July 2, 2020] Our work on Exchange Spin Coupling from Gaussian Process Regression has been posted on the ChemRxiv. I thank Prof. Dr. Carmen Herrmann, Dr. Marc Philipp Bahlke, and Natnael Mogos for the pleasant collaboration. +++

Hi, I am Jonny! My research focuses on the interface between theoretical chemistry, uncertainty quantification, and machine learning to assess and improve the predictive power of molecular models. Currently, I am a postdoctoral associate of the DFG-funded RTG 2455 "BENCh" at the University of Göttingen. Previously, I joined the labs of Alán Aspuru-Guzik at Harvard University and the University of Toronto (SNSF postdoctoral fellow), Markus Reiher at ETH Zürich (doctoral student), Eddy Hansen at the University of Oslo (Erasmus fellow), and Carmen Herrmann at the University of Hamburg (master student). I am thrilled by the idea of advancing the university curriculum. In my spare time, I find fascination in the crafting of beer.