About

I am a PhD student at Mila, supervised by Kirill Neklyudov. My research focuses on developing new machine learning methods for generative problems. I find most of my inspiration in problems from the natural sciences, lately in electronic structure calculations.

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

Outside of research, you can find me outdoors (hiking/climbing/camping), at the bouldering gym or trying new hobbies!