About
Maxim N. Shokhirev, PhD is a computational biologist and one of Tally Health's founding members, joining in March 2022 as Head of Computational Biology and Data Science. He is the first author of CheekAge (GeroScience, 2024), the peer-reviewed buccal DNA-methylation clock that defines Tally's TallyAge product, and the lead author on a 2025 follow-up comparing the Illumina MethylationEPIC v2.0 array against the Twist Human Methylome Panel for clock reproducibility. Before Tally, he spent eight years at the Salk Institute, rising to Senior Director of the Razavi Newman Integrative Genomics Bioinformatics Core.
What to Know
Signature approach
Shokhirev's work is clock-engineering: training and validating DNA-methylation aging models, then stress-testing them across measurement technologies. The CheekAge clock he led at Tally uses >200,000 methylation sites and was trained on >8,000 adults aged 18–100. A 2025 follow-up paper benchmarked CheekAge-class clocks across Illumina arrays and Twist methylation sequencing, showing principal-component-corrected versions stay reproducible across platforms while uncorrected clocks drift by years.
What sets them apart
- First author of CheekAge. The 2024 GeroScience paper is the methodology paper Tally's TallyAge product is built on — he's listed first.
- High-output computational biologist. Google Scholar reports ~10,800 citations, h-index 50, i10-index 80, 83 indexed articles — most longevity-brand scientists don't carry numbers like that.
- Salk-trained. Eight years at the Razavi Newman Integrative Genomics Bioinformatics Core, rising to Senior Director leading a PhD-level team — a rigorous academic-core lineage transferred into a consumer-product context.
Expertise
Patient types
Protocols & technologies
Affiliations
Head of Research
Thought Leadership
Publications
- CheekAge: a next-generation buccal epigenetic aging clock designed for clinical use · GeroScience, 2024
- CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality, health, and lifestyle in adults · Frontiers in Aging, 2024
- Analysis of variability and epigenetic age prediction across DNA methylation technologies · GeroScience, 2025
- Systematic review and analysis of human proteomics aging studies unveils a novel proteomic aging clock and identifies key processes that change with age · Ageing Research Reviews, 2020
- Predicting age from the transcriptome of human dermal fibroblasts · Genome Biology, 2018
- Transcriptome engineering with RNA-targeting type VI-D CRISPR effectors · Cell, 2018
- The aging astrocyte transcriptome from multiple regions of the mouse brain · Cell Reports, 2018
Notable Collaborators
- Adiv Johnson, PhD · Buccal epigenetic clocks (CheekAge); proteomic aging clocks
- Tony Wyss-Coray, PhD · Proteomic aging clocks
- Rusty Gage, PhD · Neuroscience and aging (Salk Institute)
- Patrick D. Hsu, PhD · RNA-targeting CRISPR effectors
Other specialists at Tally Health
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