Andrés Guzmán-Cordero

I am a PhD student jointly supervised at Mila / Université de Montréal by Kirill Neklyudov, and Vector Institute / University of Toronto by Alán Aspuru-Guzik. I work on the intersection of generative modelling, mathematics, and their applications to the natural sciences, with particularly interest in how these technologies can advance scientific discovery and understanding.

Before my PhD, I earned an MPhil at the University of Amsterdam where I worked with Jan-Willem van de Meent on variational inference in generative models, and went on to write my thesis at the University of Toronto working with Alán Aspuru-Guzik on Bayesian and manifold optimization. Previously, I did my BSc at the Vrije Universiteit Amsterdam where I worked with André Lucas on statistical models for particle tracking.

Curiously, I spent some years in med school back in México, and worked or interned at several startups, at a consultancy company, at the Vector Institute, and at a bank. Besides my work, I have a passion for climibing/bouldering, hiking, and literature.