Jonny Proppe

+++ Our review on Machine-learned potentials for next-generation matter simulations (with Prof. Dr. Alán Aspuru-Guzik, Prof. Dr. Pascal Friederich, and Dr. Florian Häse) has been published in Nature Materials. +++

+++ Our mini-review on Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value-added Products (with Prof. Dr. Siegfried Waldvogel, Maurice Dörr, and Maximilian M. Hielscher) has been published in ChemElectroChem. +++

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

Hi, I am Jonny! My research lies at the interface between quantum chemistry, uncertainty quantification, and machine learning. My vision is to improve and generalize our understanding of molecular phenomena. Currently, I am a postdoctoral associate of the DFG-funded RTG 2455 "BENCh" at Georg-August University, Göttingen. Previously, I joined the labs of Alán Aspuru-Guzik at Harvard University and the University of Toronto (SNSF postdoctoral fellow), and Markus Reiher at ETH Zürich (doctoral student). In my spare time, I find fascination in the crafting of beer.