Daniel López
Data Science Specialist
San Sebastián, Autonomous Community of the Basque Country, Spain
Summary
👤
Senior🎓
Top SchoolDaniel López is a data science specialist and research scientist with eight years of experience applying computational, statistical, and machine learning methods to high-dimensional MRI and behavioural data. He blends hypothesis-driven inferential work and large-scale, reproducible data-driven meta-analyses, building automated Python/bash pipelines and using GitHub for version control. His background spans PhD-level neuroimaging research, postdoctoral studies on social-cognitive brain networks, and roles promoting open science—most recently championing Frictionless Data to improve reproducible workflows. Comfortable teaching and communicating complex results, he has led hands-on computational neuroscience training and science outreach across international forums. A practical coder who pairs rigorous experimental design with scalable data engineering, he brings both domain depth in neuroscience and strong tooling for reproducible research.
8 years of coding experience
6 years of employment as a software developer
University of SevilleDoctor of Philosophy - PhD, Medical Scientist, Doctor of Philosophy - PhD, Medical Scientist at RWTH Aachen University
English, French, Spanish, euskara, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
bids9
statistics8
r8
lektor8
python7
psychology7
visualizer6
neuroscience6
neuroimaging6
visualization5
javascript4
nextjs4
react4
ai1
Programming languages (5)
Github contributions (5)
danalclop/Alcala-Lopez18CerebCortex
Nov 2020 - Feb 2021
Contributions:45 commits, 43 pushes, 1 branch in 2 months
serNAVARRO7/AISaturdays-depresion-rrss
Nov 2020 - Jan 2021
Aplicación en Bioestadística: Análisis de Depresión en RR.SS. Proyecto desarrollado durante la edición de AI Saturdays Euskadi Donostia 2020.
Contributions:31 commits, 1 PR, 27 pushes in 2 months
ai
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