José Páez
Founding Member And Scientific Advisor Of Datharsis
Granada, Andalusia, Spain
Summary
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Senior🎓
Top SchoolJosé Páez is a Full Professor and founding scientific advisor with deep expertise in exploratory data analysis, anomaly detection and multivariate optimization, leading the Computational Data Science (CoDaS) Lab at the University of Granada. He applies novel algorithmic methods to diverse domains from molecular biology and health to communication networks, and has a track record of translating complex datasets into actionable knowledge. José combines academic leadership—supervising students through PhD and postdoc levels—with industry-facing advisory roles, including founding Datharsis and advising biotech ventures. A Fulbright fellow who analyzed one of the largest WiFi trace datasets, he brings both empirical rigor and practical insight to large-scale data problems. Outside research he cultivates collaborative, creative teams and recharges in music and the mountains, reflecting a scientist comfortable balancing deep technical focus with human-centered mentorship.
11 years of coding experience
16 years of employment as a software developer
Ingeniero en Informática, Ingeniero en Informática at Universidad de GranadaUniversitat Politècnica de València
Github Skills (29)
parser10
toolbox10
exploratory10
matlab10
exploratory-data-analysis10
connectivity10
octave10
bids10
meta-analysis10
counter10
neuroimaging9
data-analysis9
sflow8
python8
netflow8
Programming languages (5)
Github contributions (5)
josecamachop/MEDA-Toolbox
Aug 2014 - Jan 2023
Multivariate Exploratory Data Analysis Toolbox for Matlab
Contributions:11 releases, 3 reviews, 361 commits in 8 years 7 months
connectivitydata-analysisneuroimagingexploratorymatlab
CoDaSLab/MEDA-Toolbox
Feb 2023 - Feb 2025
Multivariate Exploratory Data Analysis Toolbox for Matlab
Contributions:1 release, 14 pushes, 2 tags in 1 year 11 months
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