Originally interested in high energy theory and mathematical physics (i.e. all things stringy), I am now working on artificial intelligence theory. This transition was part of organic learning; whether or not this should inspire machine learning is an open area of research. My current interests lie primarily in the intersection of theories of reinforcement learning and natural language processing, integrating inspiration from physics, information theory, and game theory, among others.
I received a double Bachelor's degree in mathematics and physics (with a minor in economics) at Utrecht University in the Netherlands, and my Master's degree in physics at Northwestern University in the United States.