I am a cosmologist working at the interface of nonlinear structure formation, statistical inference, and galaxy surveys. My research develops forward-modeling and field-level Bayesian inference methods to extract maximal information from cosmic structure and use it to test growth, gravity, dark energy, and primordial physics. My work includes the first 4-sigma evidence for a late-time suppression in the growth of large-scale structure, highlighted in Physical Review Letters and covered by Scientific American and New Scientist. I have also developed field-level Bayesian inference methods for galaxy surveys, a research direction that led to a second Physical Review Letters paper and the 2024 Buchalter Cosmology Prize. I am currently a Kavli IPMU Fellow at the Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo. Before joining IPMU, I was a Leinweber Fellow at the University of Michigan and completed my PhD at the Max Planck Institute for Astrophysics.