Daniel Sánchez
Investigador Posdoctoral at Centro de Investigación Biomédica en Red CIBER
Granada, Andalusia, Spain
Summary
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Senior🎓
Top SchoolDaniel Sánchez is a postdoctoral researcher and data scientist based in Granada with a decade of experience applying mathematical and epidemiological methods to cancer research. Holding a PhD in Public Health and a background in mathematics and data science, he drives population-based studies and the national Cancer Epidemiological Information System (SIEC) at CIBER. His work blends advanced R-based data analysis and visualization with multilevel, population-scale approaches to quantify social inequalities and comorbidity impacts on cancer prognosis. Comfortable moving between hands-on data work and research leadership, he has a track record of translating complex statistical models into actionable public health insights. An interesting facet of his profile is the combination of rigorous theoretical training in mathematics with practical registry-based epidemiology, enabling both methodological innovation and applied impact.
10 years of coding experience
Doctorado, Medicina Clínica y Salud Pública, Doctorado, Medicina Clínica y Salud Pública at Universidad de GranadaMáster en Matemáticas, Máster en Matemáticas at Universidades de Almería, Cádiz, Jaén, Málaga y GranadaDiploma de Especialización en Epidemiología e Investigación Clínica, Diploma de Especialización en Epidemiología e Investigación Clínica at Escuela Andaluza de Salud Pública y Universidad de Granada
English, Spanish
Github Skills (22)
gene-expression10
mixed-models9
linear-models9
rna-seq9
modification8
monte-carlo8
health8
bioinformatics8
r-package8
simulation7
twitter7
twitter-api7
stream6
collider6
shiny6
Programming languages (2)
Github contributions (5)
danielredondo/INE_R
Jul 2019 - Jun 2021
Contributions:3 releases, 15 commits, 10 pushes in 1 year 11 months
danielredondo/danielredondo.com
Jul 2018 - Oct 2021
Contributions:117 pushes, 1 branch in 3 years 4 months
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