How do we distinguish a biological aging signal from cohort structure, technical variation, or a convenient story?
Ricardo Marín Bautista
Independent computational biologist
Working across biological scales to understand human aging and inform interventions for healthier longevity.
I build reproducible computational workflows for single-cell, multi-omics and clinical data to study how biological systems change with age.
Currently
Developing an aging-focused portfolio around single-cell transcriptomics, multi-omics quality control, drug discovery and reproducible research workflows; while also open to exciting scientific collaboration with the right peers and teams.
Selected work
These are the main computational projects that make up my personal portfolio.
Feel free to explore them in depth, ask questions, or contact me to discuss related ideas and potential collaborations.
Research questions
Questions I keep returning to
When different omics layers disagree, what does that disagreement teach us about mechanism?
What evidence should be required before calling a molecular change “rejuvenation”?
Notes
Ideas still under construction.
Shorter than essays, more considered than a feed. These are draft directions for a future notes section.
Working note
Reproducibility is part of the biological argument
Field note
From embedding to explanation
Reading trail
The vocabulary of rejuvenation
Culture / a shelf in progress
“How we imagine longer lives shapes what we choose to build for them.”
Longevity beyond the laboratory
A future collection of books, films and essays about time, memory, mortality and the human meanings behind attempts to extend healthy life.
About me
Ricardo Diego Marín Bautista
A technical practice with a human question underneath.

My background spans biomedical engineering, computational biology, systems and synthetic biology, and clinical data analysis. I care about clear reasoning, reusable workflows and the boundary between an interesting pattern and a justified conclusion.
I am especially interested in teams working on aging biology, single-cell or multi-omics research, biomarkers, and computational approaches to healthier longevity.
Contact & profiles