About Me

I am a research fellow at the Kempner Institute at Harvard University. I am interested in NLP training dynamics: how models learn to encode linguistic patterns or other structure and how we can encode useful inductive biases into the training process. Recently, I have begun collaborating with natural and social scientists to use interpretability to understand the world around us. I have become particularly interested in fish. Previously, I earned a PhD from the University of Edinburgh on Training Dynamics of Neural Language Models; worked at NYU, Google and Facebook; and attended Johns Hopkins and Carnegie Mellon University. Outside of research, I play roller derby under the name Gaussian Retribution, perform standup comedy, and shepherd disabled programmers into the world of code dictation.