Mathematician and machine learning scientist with experience working on novel systems in both academic and industrial contexts. I'm passionate about building models and systems that are reliable, safe, secure, and fair for all users. My research interests span certified robustness, adversarial attacks, graph neural networks, game-theory, computational physics and computational fluid mechanics.

As part of my work, I have been involved in rapidly taking tools and systems to production, in order to make quantifiable changes to business practices, while working directly with C-Suite executives and both technical and non-technical staff. These skills have allowed me to develop significant expertise in parallel computing (including multi-node, multi-GPU machine learning).