Yaroslav Markov, PhD
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Biography
Yaroslav Markov holds degrees in computer science and chemistry from the City University of New York, where he specialized in bioinformatics and graduated magna cum laude. After college, he worked as a post-baccalaureate fellow at the National Center for Biotechnology Information (NCBI), focusing on integrating structural biology with network-based computational methods to study molecular interactions of the nucleosome complex. Now, Yaroslav is pursuing his PhD in the Computational Biology & Bioinformatics program at Yale. He has a keen interest in the biology of aging, epigenetics, and Alzheimer's disease, and enjoys applying computational techniques to study these topics.
Last Updated on September 14, 2024.
Education & Training
- PhD
- Yale University, Computational Biology & Bioinformatics (2025)
- MS
- Yale University, Computational Biology & Bioinformatics (2021)
- BA
- City University of New York, Computer Science / Chemistry
Research
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Overview
Medical Research Interests
Aging; Alzheimer Disease; Data Science
ORCID
0000-0001-8778-4909
Research at a Glance
Yale Co-Authors
Frequent collaborators of Yaroslav Markov's published research.
Publications Timeline
A big-picture view of Yaroslav Markov's research output by year.
Research Interests
Research topics Yaroslav Markov is interested in exploring.
Albert Higgins-Chen, MD, PhD
Raghav Sehgal, PhD
Daniel Borrus, PhD
8Publications
130Citations
Publications
2026
Biological Versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response
Sehgal R, Borrus D, Gonzalez J, Markov Y, Higgins‐Chen A, Initiative A. Biological Versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response. Aging Cell 2026, 25: e70635. PMID: 42525215, PMCID: PMC13418614, DOI: 10.1111/acel.70635.Peer-Reviewed Original ResearchCitationsAltmetricDNA Methylation Signatures of Cellular Senescence Are Not Reversed by Senolytic Treatment
Kasamoto J, González J, Markov Y, Sehgal R, Lee E, Dwaraka V, Smith R, Higgins‐Chen A. DNA Methylation Signatures of Cellular Senescence Are Not Reversed by Senolytic Treatment. Aging Cell 2026, 25: e70430. PMID: 41746138, PMCID: PMC12938503, DOI: 10.1111/acel.70430.Peer-Reviewed Original ResearchAltmetric
2025
Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems
Sehgal R, Markov Y, Qin C, Meer M, Hadley C, Shadyab A, Casanova R, Manson J, Bhatti P, Moore A, Crimmins E, Hagg S, Assimes T, Whitsel E, Higgins-Chen A, Levine M. Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems. Nature Aging 2025, 5: 1880-1896. PMID: 40954326, PMCID: PMC13222069, DOI: 10.1038/s43587-025-00958-3.Peer-Reviewed Original ResearchCitationsAltmetric
2024
Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems.
Sehgal R, Markov Y, Qin C, Meer M, Hadley C, Shadyab AH, Casanova R, Manson JE, Bhatti P, Crimmins EM, Hägg S, Assimes TL, Whitsel EA, Higgins-Chen AT, Levine M. Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems. BioRxiv 2024 PMID: 37503069, DOI: 10.1101/2023.07.13.548904.Peer-Reviewed Original ResearchReliable detection of stochastic epigenetic mutations and associations with cardiovascular aging
Markov Y, Levine M, Higgins-Chen A. Reliable detection of stochastic epigenetic mutations and associations with cardiovascular aging. GeroScience 2024, 46: 5745-5765. PMID: 38736015, PMCID: PMC11493905, DOI: 10.1007/s11357-024-01191-3.Peer-Reviewed Original ResearchCitationsAltmetric
2020
Data sets on human histone interaction networks
Peng Y, Markov Y, Goncearenco A, Landsman D, Panchenko A. Data sets on human histone interaction networks. Data In Brief 2020, 33: 106555. PMID: 33299912, PMCID: PMC7701981, DOI: 10.1016/j.dib.2020.106555.Peer-Reviewed Original ResearchCitationsAltmetricHuman Histone Interaction Networks: An Old Concept, New Trends
Peng Y, Markov Y, Goncearenco A, Landsman D, Panchenko A. Human Histone Interaction Networks: An Old Concept, New Trends. Journal Of Molecular Biology 2020, 433: 166684. PMID: 33098859, PMCID: PMC7987645, DOI: 10.1016/j.jmb.2020.10.018.Peer-Reviewed Original ResearchCitationsAltmetric
2019
Molecular recognition of nucleosomes by binding partners
Kale S, Goncearenco A, Markov Y, Landsman D, Panchenko A. Molecular recognition of nucleosomes by binding partners. Current Opinion In Structural Biology 2019, 56: 164-170. PMID: 30991239, PMCID: PMC6656623, DOI: 10.1016/j.sbi.2019.03.010.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsMeSH Keywords
Academic Achievements & Community Involvement
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Honors
honor Pilot Project Award
01/25/2023Other AwardNIA Biomarker Network
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