Rodrigo Díaz

Director Del Departamento De Sistemas Digitales Y Datos

Buenos Aires, Autonomous City of Buenos Aires, Argentina
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Summary

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Senior
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Top School
Rodrigo Díaz is an astrophysicist-turned-data leader with a decade of experience applying Bayesian inference and state-of-the-art algorithms to exoplanet science and radial-velocity analysis. He co-developed the PASTIS software and has a strong track record of research and teaching, currently directing digital systems and data at ITBA and leading the Data Science program at Universidad Nacional de San Martín. Rodrigo combines deep academic credentials—a PhD in Physics from Universidad de Buenos Aires and multiple European postdocs—with practical software and statistical expertise used in production research tools. He teaches introductory machine learning while actively conducting research as a scientific and associate researcher, bridging pedagogy, research, and applied data engineering. Based in Buenos Aires, he brings a rare mix of domain knowledge in astrophysics and hands-on implementation of Bayesian model comparison that informs robust, reproducible data workflows.
code11 years of coding experience
job9 years of employment as a software developer
bookPh.D., Physics, Ph.D., Physics at Universidad de Buenos Aires
languagesEnglish, French, español (castellano)
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Github Skills (12)

data-model9
ide6
anaconda6
python5
qt5
language-server-protocol5
monte-carlo3
kernel2
bayesian2
machine-learning1
python-development1
spyder1

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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exord/run

Jul 2017 - Jul 2021

Contributions:24 pushes, 9 branches in 4 years
IAI-UNSAM/datasets

Nov 2020 - Sep 2022

Contributions:14 commits, 16 pushes, 1 branch in 1 year 10 months
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