
I am a cosmologist developing forward-modeling and field-level Bayesian inference methods for galaxy surveys. I use them to extract more information from cosmic structure and test gravity, dark energy, and primordial physics.
My work includes the first 4-sigma evidence for suppressed late-time growth of large-scale structure and field-level inference methods that extract substantially more cosmological information than standard analyses. These results appeared in two Physical Review Letters papers; the suppressed-growth result received coverage in Scientific American and New Scientist, while the field-level inference work was recognized with the 2024 Buchalter Cosmology Prize.
I welcome inquiries from prospective students and postdocs, and from researchers interested in collaboration.