Adding Profile for Gabriel Matos (#2299)

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Co-authored-by: gpinheir <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Rob Tuck <[email protected]>

_codas-hep-students/2024/gabrielpmatos.md

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+---
+layout: codas-hep-participant
+e-mail: [email protected]
+institution: Columbia University
+name: Gabriel Matos
+photo: "/assets/images/codas-hep/2024/Gabriel-Matos.jpg"
+github-username: gabrielpmatos
+linkedin-profile: https://www.linkedin.com/in/gabriel-matos-413327149
+orcid: 0000-0002-4803-0167
+title: Graduate Student
+website: https://www.physics.columbia.edu/content/gabriel-matos
+logos:
+    - /assets/images/codas-hep/logos/ATLAS-logo.png
+    - /assets/images/codas-hep/logos/NevisLogoCUFullSize.jpg
+---
+
+## My research:
+I currently work on ATLAS where I have worked on anomalous jet tagging for di-boson and dark jet searches. I have also worked extensively on the ATLAS upgrade for the readout system of the LAr calorimeter. As of late, I've been interested in applying ML to low-level calorimeter data for long-lived particle searches.
+
+## My expertise is:
+Python, C++, ROOT, and ML
+
+## A problem I'm grappling with:
+Optimizing software to perform analysis on LAr pulse data
+
+## I've got my eyes on:
+Columnar analysis tools, applications of machine learning to particle physics
+
+## I want to know more about:
+Machine learning, parallel programming, GPU acceleration, best practices for code maintenance