Jonatan González
Assistant Professor at Universidad Miguel Hernández de Elche
Spain
Summary
👤
Senior🎓
Top SchoolJonatan González is an Assistant Professor and spatial statistics researcher with nine years of experience developing and applying spatio-temporal point process methods to public health and medical problems. Holding a PhD in Statistics and a background in computational mathematics, he combines rigorous theory with practical R-based software development to analyze complex event data in space and time. His postdoctoral work at KAUST and prior research at Universitat Jaume I reflect a track record of interdisciplinary collaboration and methodological innovation tailored to large, real-world datasets. Based in Spain, he is notable for translating advanced statistical models into accessible tools for applied researchers, bridging academia and reproducible computational practice.
9 years of coding experience
Bachelor's degree, Mathematics, Mathematician, Bachelor's degree, Mathematics, Mathematician at Universidad de AntioquiaDoctor of Philosophy - PhD, Sciences (Statistics), Doctor of Philosophy - PhD, Sciences (Statistics) at Universitat Jaume I
English, Spanish
Github Skills (11)
resampling9
meta-analysis9
tidymodels9
density-estimation8
temporal8
sampling8
kernel6
statsmodels6
spatial1
r-package1
hidden1
Programming languages (1)
Github contributions (5)
jagm03/kernstadapt
Jun 2022 - Nov 2022
The "kernstadapt" package for R allows for estimating adaptive kernel-smoothed spatio-temporal intensity functions.
Contributions:239 commits, 1 PR, 237 pushes in 5 months
kerneltidymodelsadaptivespatio-temporalestimating
jagm03/adapt.st
Jan 2022 - Jun 2022
Contributions:141 pushes, 1 branch in 5 months
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