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.