About
Julián Candia is Staff Scientist at the Longitudinal Studies Section of the Translational Gerontology Branch at the National Institute on Aging, NIH in Baltimore, MD. He works in collaboration with basic, translational, and clinical research scientists to develop quantitative methods of data analysis to better leverage the potential of new technologies in the biomedical realm.
In this context, his expertise at the crossroads of data science, biostatistics, machine learning, network science, and bioinformatics is applied to contribute innovative ideas to key problems in systems biology, with special emphasis in aging.
Dr. Candia obtained his Licenciado (1999) and Ph.D. in Physics (2004) degrees from the University of La Plata (Argentina). He earned the 2000 “Dr. Joaquín V. González” award for highest GPA. In subsequent years, he worked on a variety of problems involving computational and mathematical modeling of far-from-equilibrium dynamical systems, as well as on data mining and machine learning. In 2009-2011, he worked for the electronic health record software company Epic Systems. In 2011-2014, he worked at the University of Maryland with a joint appointment between the Department of Physics (Losert lab) and the School of Medicine (Civin lab), where he was a recipient of an NIH T32 Cancer Biology Training Grant. Since 2014, he works as Staff Scientist at the National Institutes of Health.
He authored over 110 original research peer-reviewed articles in top scientific journals (including Cell, Immunity, Nature Comm, Science Adv, J Hepatol, J Clin Invest, Biomaterials, Aging Cell, eLife, Sci Rep, PLOS Comp Biol, BMC Bioinformatics, Phys Rev Lett) and 3 book chapters. For his full list of refereed publications (with PDFs available for download), visit https://juliancandia.github.io
Google Scholar Citation-
https://scholar.google.com/citations?user=FMGdZqcAAAAJ&hl=en&oi=ao
Employment
Employment history is unavailable.
Education
Education history is unavailable.
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Publications (97)
- The plasma proteome of an Ebola virus disease survivor reveals longitudinal changes in coagulation and innate immune pathways in the absence of therapy Save
- Molecular damage associated with ageing drives inflammation in cardiovascular disease Save
- Plasma GDF15 affects long-term dementia risk and alters neuro-immune signaling Save
- Proteomic Age Acceleration in Multiple Sclerosis Precedes Symptom Onset and Associates with Severity Save
- Muscle atrophy after ACL reconstruction involves molecular mechanisms beyond unloading Save
- Circulating Cell Type Senescence Signatures Reveal High-Resolution Health Status and Trajectories in Human Longitudinal Studies Save
- Changes in motor unit conduction velocity after unilateral lower‐limb suspension and active recovery are correlated with muscle ion channel gene expression Save
- The blood proteome predicts the impact of circulating factors on age-related mitochondrial health Save
- Preservation of Autophagy May Be a Mechanism Behind Healthy Aging Save
- SomaModules: A Pathway Enrichment Approach Tailored to SomaScan Data Save
- A Frailty‐Based Plasma Proteomic Signature Capturing Overall Health and Well‐Being in Older Adults Save
- Dynamics of multimorbidity, health expectancy, and survival in middle aged and older individuals Save
- SomaModules: a pathway enrichment approach tailored to SomaScan data Save
- Pig Taste Cell-derived Organoids Synthesize Insulin Save
- Biomarkers of Aging–NIA Joint Symposium 2024: New Insights Into Aging Biomarkers Save
- Previous short‐term disuse dictates muscle gene expression and physiological adaptations to subsequent resistance exercise Save
- Healthy Aging Metabolomic and Proteomic Signatures Across Multiple Physiological Compartments Save
- Proteomic signatures of corona and herpes viral antibodies identify IGDCC4 as a mediator of neurodegeneration Save
- Effects of In Vitro Hemolysis and Repeated Freeze–Thaw Cycles in Protein Abundance Quantification Using the SomaScan and Olink Assays Save
- Serum Proteomic and Metabolomic Signatures of High Versus Low Physical Function in Octogenarians Save