I am a theorist with broad scientific training, who loves to make pretty things out of math and code.
In September 2024, I joined MILA as a postdoc under Yoshua Bengio.
I develop natural mathematical foundations for fallible agents, which are well-suited to modern AI systems.
My work combines
machine learning, probabilistic graphical models, information theory, programming languages, category theory, microeconomics, causality, and logic.
See my research page for more information!
I received my PhD in Computer Science from Cornell University in 2024, where I was advised by Joe Halpern.
Before that, I did an MPhil in CS at the University of Cambridge under Mateja Jamnik.
I earned three majors (Mathematics, Cell & Molecular Biology, and Computer Science) and three minors (Chemistry, Physics, Cognitive Science) as an undergraduate at the University of Utah. There, my research focused on pure math (tropical geometry, with Aaron Bertram) and applied machine learning (structured prediction for natural language, with Vivek Srikumar).
Even before that, I made video games in my free time.
I also improvise on the piano!