Here is a summary of my education and research experience.

Google Research
// 2022 — Present

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