ccbreen [at] mit [dot] edu
I’m a PhD student in mathematics at MIT, where I’m extremely fortunate to be advised by Gigliola Staffilani. I’m a student researcher at Google DeepMind working on AI for mathematics. My research is supported by an NDSEG fellowship.
My interests lie at the intersection of partial differential equations, probability, and machine learning. I’m interested in how learned models can support scientific and mathematical reasoning with rigorous guarantees—from making valid statistical inferences using model predictions to establishing the existence of solutions to PDEs.
I’ve interned three times at Google DeepMind, where I was supervised by the wonderful Adam Fisch, Been Kim, and Ray Jiang. I’ve also interned at Meta Reality Labs.
Before MIT, I studied mathematics at Princeton, where I worked with Ching-Yao Lai and Tristan Buckmaster on physics-informed machine learning. I then completed a master’s degree in mathematics (Part III) at the University of Cambridge, working with Sofia Villar on clinical trial design. I’ve worked with Stephen Bates on statistical inference using predictive models.
I co-created Logion with Creston Brooks, Johannes Haubold, and Barbara Graziosi. The project uses machine learning to identify and correct errors in ancient Greek texts.