Julián Candia
Staff Scientist at National Institutes of Health
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolJulián Candia is a Staff Scientist at the National Institute on Aging who builds quantitative data-analysis methods at the intersection of computational biology, biostatistics, network science, and machine learning to advance translational research in aging. With a Ph.D. in Physics and over a decade of experience bridging academia, industry (Epic Systems), and government research, he has applied complex-systems modeling and data mining to problems from cancer biology to longitudinal aging studies. He has authored more than 110 peer-reviewed articles in top journals, reflecting a strong track record of turning theoretical models into practical biomedical insights. Known for cross-disciplinary collaboration, he frequently embeds statistical rigor into experimental teams to extract new signals from emerging biomedical technologies. An early career accolade for top academic performance and stints at leading network-science centers hint at a rare combination of deep theory and hands-on implementation.
10 years of coding experience
11 years of employment as a software developer
Ph.D., Physics, Ph.D., Physics at University of La Plata (Argentina)
English, Spanish, Italian
Github Skills (2)
bioconductor2
bioinformatics2
Github contributions (5)
juliancandia/eNetXplorer
Mar 2018 - Nov 2021
Contributions:1 release, 66 commits, 64 pushes in 3 years 7 months
juliancandia/MongolianHCC
Jan 2020 - Feb 2020
Contributions:10 commits in 14 days
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