Simón Pedro González
Fulbright Scholar (2024–26) • M.S. in Artificial Intelligence @ University of Utah, USA
Software Engineer with experience in scientific computing, web platforms, and unsupervised ML
Bachelor in Computer Science (2022) @ National University of San Juan, Argentina
Contact:
simon.pedro.g@gmail.com •
GitHub •
LinkedIn
CV: 1 page · 3 pages
About
- I’m a software engineer from Argentina, currently pursuing a Master’s in Artificial Intelligence at the University of Utah as a Fulbright Scholar.
- I have experience in scientific computing and unsupervised machine learning, with a focus on building data analysis tools for astronomy research.
- I’m currently interested in open science initiatives, anomaly detection, spatial data analysis, and reinforcement learning.
- Previously, I worked as a technical lead on web projects at Folcode and BridgeNext.
Projects
SCLUDAM – Star CLUster Detection And Membership Estimation
SCLUDAM is a Python package for fetching data from GAIA catalogues, detecting star clusters, and estimating cluster membership probabilities.
Goal: Provide an accessible tool for detecting star clusters and estimating memberships from astrometric data.
My contribution: Author.
PyPI Package • Docs • Repo • Technical Paper • Featured in Alejo, González & González. (2024)
raptor-stats – Raptor Zonal Statistics Library
raptor-stats is a Python package for computing zonal statistics using Raptor (Raster + Vector) methods, which are more efficient at larger scales than standard raster methods such as masking. You can read more about the different approaches and benchmarks in this project report.
Goal: Provide fast zonal statistics methods for large raster and vector files.
My contribution: Author.
PyPI Package • Docs • Repo
pyscan-stats – Spatial Scan Statistics Library
pyscan-stats is a Python package based on the
pyscan wrapper by Michael Matheny,
providing fast C++ spatial scan statistics for anomaly detection. The algorithms
were developed by Jeff M. Phillips, Michael Matheny and collaborators.
Goal: Make these cool algorithms easier to use and build upon.
My contribution: Updated for new Python versions • Linux & Mac wheels & packaging • Cleaned and reorganized project • New features: fast grid constructor & area-limited scanning.
PyPI Package • Docs • Repo • Examples • Data Mining Class Project on Pollution Data Analysis.
Solar Explorer
A fun D3.js project exploring space missions and planetary data. Built for the 2025 Data Visualization course at the University of Utah — it ended up placing 2nd in the final project showcase!