I develop methods — drawn from electronic-structure theory, statistical
physics, stochastic dynamics, graph algorithms, and machine learning —
to study how charge, spin, and energy move through complex,
disordered systems.
Recent advances in machine learning and molecular dynamics have made
the study of nuclear structure–function correlations
tractable in systems we used to consider hopeless. I want to do
the same for electronic properties: predicting, designing,
and understanding emergent behaviour in matter that resists clean
theoretical handles.
I am equally interested in how, what, and
why. Given a choice, I prefer the wrong answer with an honest reason over the right answer with a shrug.
Outside of work I take photographs, paint, play several instruments
poorly and a few sports adequately. I read, often. I dislike
broccoli with conviction.