Research & scientific computing

Research & software

My work spans solid-state physics, distributed computing, and machine learning for biology, with computation and HPC connecting these projects.

01 / Solid-state physics

Solid-state thermodynamics

Making accurate thermodynamic predictions accessible, from quantum effects at low temperature to strongly anharmonic solids.

Lattice dynamicsHPCJulia & Python

02 / Scientific computing

cuNumeric.jl

Multi-GPU numerical computing through familiar Julia arrays, with automatic kernel fusion and support for existing scientific libraries.

Distributed computingGPU kernelsJulia

Illustration: PINDER paper

03 / AI for biology

Protein interaction modeling

Building richer datasets and models to study protein binding, with explicit attention to intrinsic disorder.

Protein language modelsPyTorchAurora

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