Rodolfo Allendes

Specially Appointed Assistant Professor at Osaka University

Kyoto, Japan
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Summary

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Rodolfo Allendes is a computational bioinformatics researcher and Specially Appointed Assistant Professor at Osaka University with eight years of professional experience building visualization tools for drug discovery. He blends multidisciplinary informatics training from an integrated PhD/MSc at the University of Leeds with hands-on postdoctoral work at Japan’s National Institutes of Biomedical Innovation to translate complex biomedical data into actionable visual insights. Based in Kyoto, he contributes to Osaka’s WPI Premium Research Institute for Human Metaverse Medicine, where his work intersects human-centered visualization, computational drug discovery, and the emerging metaverse-for-health concept. A former lecturer with a long academic teaching history in Chile, he is passionate about education and routinely bridges classroom pedagogy with cutting-edge research. Notably, his profile reflects a rare combination of deep software engineering and domain-specific bioinformatics expertise that accelerates translational research workflows.
code8 years of coding experience
bookIngeniero Civil en Computacion, Computacion, Ingeniero Civil en Computacion, Computacion at Universidad de Talca
bookIntegrated PhD and MSc in Multidisciplinary Informatics, Informatics, Integrated PhD and MSc in Multidisciplinary Informatics, Informatics at University of Leeds
languagesSpanish, English, German
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Github Skills (10)

markov7
discovery6
clustering6
python5
drug-discovery5
warehouse4
data-warehouse4
data-analysis4
intermine3
cytoscape1

Programming languages (3)

TypeScriptJavaPython

Github contributions (5)

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Data warehouse for drug discovery
Contributions:4 PRs, 74 pushes, 1 branch in 1 year 10 months
warehousedrug-discoverydiscoverydrugdata-warehouse
RodolfoAllendes/cline

Jan 2019 - Aug 2020

Contributions:3 releases, 15 PRs, 16 pushes in 1 year 6 months
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Rodolfo Allendes - Specially Appointed Assistant Professor at Osaka University