About Me

I’m a second-year Physics PhD student at the University of Florida, advised by Dr. Richard Hennig. I build generative machine-learning models to discover new superconductors.

Research interests: generative models, machine learning for materials discovery, superconductivity, high-throughput computational screening.

Before UF, I earned a B.S. in Physics and a B.A. in Mathematics from Carthage College. My undergraduate research covered gravitational-wave noise characterization with LIGO (published in Classical and Quantum Gravity), quantum information theory at Penn State, and analytic correlation functions for materials and cosmology. Details are on my Research page.

I’m originally from Minnesota, and outside of research I enjoy lifting, listening to and playing music, and backpacking.

You can also find me on my UF page.

News

• Jul 2026: Presented a poster on diffusion-based superconductor discovery at Purdue
• Summer 2026: Completed the Erdős Institute Quantitative Finance program
• Oct 2025: Earned the NVIDIA Getting Started with Deep Learning certification
• Sep 2025: Started my PhD at UF with the Graduate School Opportunity Award
• Aug 2025: PINCH published in Classical and Quantum Gravity