Résumé
Here is a summary of my education and professional experience.
Bayer
// 2023 — Present
Director, Machine Learning Research
Research Topics: Machine Learning, Drug Discovery, Molecular Design
Google Research
// 2022 — 2023
Senior Research Scientist
Research Topics: Machine Learning, Drug Discovery, Molecular Design
Massachusetts Institute of Technology
// 2021 — 2022
Research Scientist
Advisor: Connor Coley
Research Topics: Active Learning, Cheminformatics, Graph Neural Networks
Vector Institute & University of Toronto
// 2019 — 2021
Postdoctoral Research Fellow
Advisor: Alán Aspuru-Guzik
Research Topics: Bayesian Optimization, Materials Discovery, Autonomous Experimentation
Max Planck Institute for Biophysical Chemistry
// 2017 — 2019
Postdoctoral Research Fellow
Advisor: Bert L. de Groot
Research Topics: Protein Design, Molecular Dynamics, Free Energy Calculations
University of Oxford
// 2012 — 2016
PhD in Computational Biochemistry
Advisor: Philip C. Biggin
Research Topics: Drug Design, Molecular Dynamics, Free Energy Calculations, Monte Carlo Simulations
University College London
// 2011 — 2012
MSc in Drug Design
Thesis Topic: Cheminformatics
University of Insubria
// 2007 — 2010
BSc in Chemistry
Thesis Topic: Organic Chemistry