Xiaoyue (Serafina) Mei

I am a Ph.D. candidate in the UCSF–UC Berkeley Joint Bioengineering Program. I received my B.A. in Molecular and Cellular Biology with a minor in Data Science from UC Berkeley. My research uses computational biology and multi-omics analysis to study disease-relevant biological variation. In the Conboy Lab, I worked on aging biology, epigenetic clocks, and age-associated proteomic and epigenetic dysregulation. I am now working in the Capra Lab to identify dominant-and-dispensable genes as potential therapeutic targets using genetic, functional, and multi-omics data.

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Research

My work focuses on building interpretable data-driven approaches to connect molecular patterns with biological mechanisms and clinically relevant outcomes. Representative papers are shown below.

microphysiological systems paper figure Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies
Lin Qi, Yuchen He, Alexandra Sviercovich, Xiaoyue Mei, Erzhen Chen, Yihan Xia, Michael J. Conboy, Irina M. Conboy & Andreas Stahl
Nature Biomedical Engineering, 2026
doi / article
dominant and dispensable genes preprint figure Leveraging human genetic variation to therapeutically target hundreds of genes with dominant & dispensable disease alleles
Grace D. Ramey, Quinn T. Cowan, Akshita G. Saxena, Bria L. Macklin, Hannah L. Watry, Xiaoyue Mei, Philip Dierks, Luke M. Judge, Bruce R. Conklin & John A. Capra
medRxiv, 2026
doi / article
paper2 photo Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease
Xiaoyue Mei *, Joshua Blanchard *, Connor Luellen, Michael J. Conboy & Irina M. Conboy
Aging, Volume 15, Issue 17, pages 8552-8575 cover (2023)
interview / perspective
paper1 photo Old plasma dilution reduces human biological age: a clinical study
Daehwan Kim, Dobri D. Kiprov, Connor Luellen, Michael Lieb, Chao Liu, Etsuko Watanabe, Xiaoyue Mei, Kaitlin Cassaleto, Joel Kramer, Michael J. Conboy & Irina M. Conboy
GeroScience, 44, pages 2701-2720 (2022)

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