Home Institution: Columbia University

Gabriel Matos

Graduate Student
Contact me:

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