About
Diogo Barardo, PhD is Head of R&D at NOVOS Labs, where he helps translate academic aging research into formulations, trials, and product evidence. His background spans a PhD in Biochemistry from NUS Yong Loo Lin School of Medicine, an MSc in Biophysics and Bionanosystems from Universidade do Minho, and postdoctoral work at the NUS Centre for Healthy Longevity under Brian Kennedy. Before NOVOS, he contributed to core geroscience infrastructure including DrugAge, Geroprotectors.org, and the Human Ageing Genomic Resources ecosystem.
What to Know
Signature approach
Barardo's R&D lens is computational first, then product translation. He helped build curated databases of lifespan-extending compounds and co-authored machine-learning work for predicting geroprotective candidates. At NOVOS, that background maps to screening ingredients, stacking mechanisms across the hallmarks of aging, and connecting supplement formulations to model-organism and human-study evidence.
What sets them apart
- DrugAge co-creator. DrugAge is one of the core databases for aging-related compounds.
- Machine-learning angle. His publication record includes work predicting lifespan-extending compounds from curated datasets.
- Brian Kennedy lab connection. Postdoctoral work at NUS places him inside a major geroscience network.
- Publication footprint. Google Scholar listed 1,829 citations at capture, with work across Aging Cell, Aging, Nucleic Acids Research, Developmental Cell, GeroScience, and eLife.
Affiliations
Head of Research
Thought Leadership
Publications
- Human ageing genomic resources: new and updated databases · Nucleic Acids Research, 2018
- The DrugAge database of aging-related drugs · Aging Cell, 2017
- Geroprotectors.org: a new, structured and curated database of current therapeutic interventions in aging and age-related disease · Aging (Albany NY), 2015
- Rejuvant, a potential life-extending compound formulation with alpha-ketoglutarate and vitamins, conferred an average 8 year reduction in biological aging · Aging, 2021
- Drug synergy slows aging and improves healthspan through IGF and SREBP lipid signaling · Developmental Cell, 2018
- Machine learning for predicting lifespan-extending chemical compounds · Aging (Albany NY), 2017
- Systematic analysis of the gerontome reveals links between aging and age-related diseases · Human Molecular Genetics, 2016
- A concerted increase in readthrough and intron retention drives transposon expression during aging and senescence · eLife, 2024
- Alpha-ketoglutarate supplementation and BiologicaL agE in middle-aged adults (ABLE) — intervention study protocol · GeroScience, 2023
- SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes · Scientific Data, 2020
Notable Collaborators
- Brian Kennedy · Postdoctoral supervisor, Centre for Healthy Longevity (NUS); aging biology
- João Pedro de Magalhães · Longevity databases (HAGR, DrugAge, Geroprotectors.org)
- Jan Gruber · C. elegans aging biology, geroscience
- Robi Tacutu · Aging genomics databases (HAGR, SynergyAge)
Other specialists at NOVOS Labs
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