add Sam Young (#2285)

Sam Young codas-hep 2024

Author: youngsm

_codas-hep-students/2024/Sam-Young.md

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+---
+layout: codas-hep-participant
+e-mail: youngsam@stanford.edu
+institution: Stanford University/SLAC National Accelerator Laboratory
+name: Sam Young
+photo: "/assets/images/codas-hep/2024/Sam-Young.jpg"
+github-username: youngsm
+linkedin-profile: https://linkedin.com/in/y0ungsam/
+orcid: 0000-0002-2488-1899
+title: Physics PhD Student
+website: https://youngsm.com/
+logos:
+    - /assets/images/codas-hep/logos/DUNE.png
+    - /assets/images/codas-hep/logos/icarus.png
+    - /assets/images/codas-hep/logos/SLAC_logo.png
+    - /assets/images/codas-hep/logos/Stanford_logo.png
+---
+
+## 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