I am a postdoc working in the UBC computer science department with Frank Wood, and in the UBC statistics department with Trevor Campbell. I work on applying techniques of probabilistic programming for inverting physical models, with robust statistical guarantees. I am part of the DSI-CRN collaboration, which aims to leverage machine learning methods to develop better composite materials.
Before starting as a machine learning researcher, I did a PhD in condensed matter physics at UBC in the group of Andrea Damascelli. My research focussed on understanding the interplay between spin-orbit coupling and electron-electron interactions. Before that, was a MSc student in Amsterdam, working with Mark Golden, understanding the effects of light on the energy states of topological insulators.