Sam Young

My research:

neutrino physics, differentiable surrogate modeling of photon transport in DUNE ND-LAr/ICARUS and some other deep learning stuff.

My expertise is:

• python, some C++, root, and a little cuda.
• ai/ml
• making irriversible decisions

A problem I’m grappling with:

• data parallelism

I’ve got my eyes on:

• heterogeneous computing, simulation-based inference methods, and foundation models for physics.

I want to know more about:

• parallel computing
• best practices for dealing with large datasets
• best practices for developing software like an engineer and not a physicist