I'm an AWS Climate Data Science Fellow in the Department of Earth and Planetary Sciences at Harvard University. My work sits at the intersection of climate science, astrophysics, and data visualization.
On the climate side, I'm building HarvestStat, the world's most comprehensive dataset of subnational crop yield data. By coupling remote sensing with ground-based agricultural observations, this project aims to understand how climate dynamics shape yield responses across the globe.
My Ph.D. research at Harvard (advised by Alyssa Goodman and Lars Hernquist) focused on the three-dimensional structure of the interstellar medium and the physics of turbulence in star-forming regions. I helped discover that all nearby star formation occurs on the surface of the Local Bubble, an expanding superbubble driven by supernovae. I also built high-resolution interactive 3D maps of the Orion star-forming complex and studied how shock waves interact with turbulence in molecular clouds using magnetohydrodynamic simulations.
Before coming to Harvard, I contributed to the Pantheon analysis and the Foundation Supernova Survey, using Type Ia supernovae to measure the accelerating expansion of the Universe.
Throughout my career, I've been passionate about making scientific data accessible and interactive. I'm a contributor to glue, a linked-data visualization package used by astronomers and Earth scientists worldwide, and I co-published the first augmented reality figure in an astronomy journal. I was also the first graduate student to serve on the AAS Education Committee and helped lead workshops, resource development, and studies to support and characterize the state of astronomy education in the U.S.