Andres Rios-tascon
Research Software Engineer at Princeton University
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolAndres Rios-tascon is a Research Software Engineer at Princeton University with 11 years of experience applying physics and mathematical insight to high-performance scientific software. He builds and optimizes tools for the HL-LHC era, contributing performance-sensitive track-reconstruction improvements to the CMS Offline Software (cmssw). With a PhD in Physics from Cornell, Andres developed CYTools—an open-source package that implemented novel algorithms from computational algebraic geometry to accelerate previously intractable string theory computations. He pairs deep theoretical knowledge with practical engineering, having used machine learning and algorithmic design to explore complex solution spaces and reduce computational cost. His background spans MIT lattice QCD and collider simulations through summer work at CERN, giving him a rare end-to-end view of HEP data and software stacks. Colleagues rely on him to turn mathematically subtle structures into robust, high-speed code used by research groups worldwide.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Physics and Mathematics, Bachelor of Science - BS, Physics and Mathematics at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Cornell University
English, Spanish, French
Github Skills (12)
algorithm10
tracks10
data-structures10
algorithms10
cms10
c-language10
offline-web-app10
cpp10
cprogramming-language10
offline-app10
cplus10
data-structure10
Programming languages (12)
Github contributions (5)
cms-sw/cmssw
Nov 2023 - Mar 2025
CMS Offline Software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 reviews, 8 PRs, 32 comments in 1 year 4 months
Contributions summary:Andres primarily contributes to the CMS Offline Software, focusing on performance improvements and bug fixes within the RecoTracker/LSTCore module. Their work involves optimizing helix calculations, addressing NaN issues, and implementing and refining r-z chi2 cuts, which are essential for track reconstruction. They also work on removing redundant functions, achieving speedups, and adding functionalities related to low pT occupancies, demonstrating a deep understanding of the underlying algorithms and data structures. The user's contributions suggest a focus on improving the efficiency and accuracy of track reconstruction within the CMS experiment's software.
cmscernweb-appc-plus-plusbackbonejs
hsf-training/training-center
Dec 2023 - Mar 2025
A new training center!
Contributions:11 reviews, 30 PRs, 26 pushes in 1 year 2 months
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