I develop machine learning algorithms with the long-term goal of advancing applications in the natural sciences. At the moment, my group is working on methods for
The success of large language models is driven by the abundance and natural structure of data. What does this tell us about our universe and ourselves? How can we use these insights to advance applications in other domains? I am interested in understanding how the statistical structure of real-world data influences the emergence of capabilities in AIs as they train on vast, heterogeneous datasets.