01 / Solid-state physics
Solid-state thermodynamics
Making accurate thermodynamic predictions accessible, from quantum effects at low temperature to strongly anharmonic solids.
Research & scientific computing
My work spans solid-state physics, distributed computing, and machine learning for biology, with computation and HPC connecting these projects.
01 / Solid-state physics
Making accurate thermodynamic predictions accessible, from quantum effects at low temperature to strongly anharmonic solids.
02 / Scientific computing
A Julia interface to NVIDIA’s cuPyNumeric stack, making multi-node, multi-GPU computation easier to use.
Illustration: PINDER paper ↗
03 / AI for biology
Building richer datasets and models to study protein binding, with explicit attention to intrinsic disorder.
Looking for earlier engineering and imaging projects?
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