Miguel Aragon - Assistant Professor at Astronomy Department, UNAM

Miguel Aragon

Assistant Professor at Astronomy Department, UNAM

Baja California, Mexico

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Summary

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Senior

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Top School

Miguel Aragon is an Assistant Professor and computational cosmologist with 10+ years of experience applying machine learning and data-intensive engineering to astrophysics. He designs and trains deep convolutional networks and ensemble techniques to extract structures from 3D cosmological simulations and multi-terabyte galaxy maps, and builds scalable Big Data tooling (HDFS, Mesos, FUSE) to process them. At UNAM he leads and funds a machine learning group, teaches graduate courses, and translates complex science into public-facing outreach featured across major international media. His background spans electrical engineering through a PhD in astrophysics and postdoctoral work at Johns Hopkins, blending hardware-aware thinking with cutting-edge AI methods. Notably, he couples image segmentation and automated pattern-recognition expertise with interactive visualization to surface unexpected astrophysical phenomena.

10 years of coding experience

5 years of employment as a software developer

Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Technological Institute of Cd. Guzman

Masters, Astrophysics, First in class, Masters, Astrophysics, First in class at Instituto Nacional de Astrofísica, Óptica y Electrónica

Johns Hopkins University

PhD, astrophysics, PhD, astrophysics at Rijksuniversiteit Groningen / University of Groningen

Dutch, Spanish, English

Github Skills (1)

rust2

Programming languages (2)

ShellObjective-C

Github contributions (5)

miguel-aragon/Lagrangian-Sheet-Density-Estimator

May 2017 - Apr 2018

Contributions:22 commits, 21 pushes, 1 branch in 11 months

miguel-aragon/SDSS_fits_cutout

Sep 2017 - Apr 2022

Contributions:28 commits, 27 pushes, 1 branch in 4 years 7 months

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