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.
12 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 (13)
matlab10
parser10
exploratory-data-analysis10
sflow8
netflow8
network-analysis8
permutation6
monitoring5
testing4
data-analysis4
react2
typescript1
javascript1
Programming languages (5)
Github contributions (5)
josecamachop/FCParser
Mar 2018 - Oct 2022
Feature as a Counter Parser for Networkmetrics
Contributions:124 commits, 119 pushes, 3 branches in 4 years 8 months
parser
josecamachop/MEDA-Toolbox
Aug 2014 - Jan 2023
Multivariate Exploratory Data Analysis Toolbox for Matlab
Contributions:17 releases, 3 reviews, 361 commits in 8 years 7 months
exploratory-data-analysismatlab
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