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, with aging in view.
I build reproducible analyses for multi-omics and clinical data, with a growing focus on how immune systems and molecular networks change with age.
Currently
Developing an aging-focused portfolio around single-cell transcriptomics, multi-omics quality control, and reproducible research workflows — while looking for the right scientific team to grow with.
Selected work
Projects built to be examined, not merely displayed.
Each project foregrounds the decisions, constraints and reusable work behind the result.
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
Why workflow design, metadata decisions and negative results belong in the scientific story — not only in the methods appendix.
Field note
From embedding to explanation
A practical question for single-cell work: when does a useful latent representation become a defensible biological interpretation?
Reading trail
The vocabulary of rejuvenation
Collecting the distinctions between age association, intervention response, partial reprogramming and durable functional change.
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