A physicist who computes.

I've spent many years leading software projects across a wide landscape of domains, clients, languages, and platforms. This experience informs the way I think about and work on technology.

I earned my Ph.D. in physics working on the theory and simulation of chaotic optical microcavities. My thesis found a new family of resonant modes (folded chaotic whispering-gallery modes), and I wrote BoundaryIntegralMethod.jl to compute the optical resonances of arbitrary 2D cavities.

Since then my work has been in the areas of computation and data science: numerical modeling, simulation, and machine learning, always close to the code. I work in Julia, along with many other languages, and I enjoy building nice tools to support that effort, like the reactive notebook system this page runs on.

As the pace of AI has accelerated over the past few years, I've become increasingly focused and engaged with possibilities this technology enables and supports, which is reflected in my recent work.