Research scientist · Computational genomics · Aging biology

Making complex biology interpretable.

I am Blaise Mariner, a computational biologist studying how genomes, epigenomes, and cellular processes shape aging. I connect biological questions with rigorous statistics, scalable computation, and the scientific judgment needed to make the results meaningful.

Dog Aging Project Snyder-Mackler Lab, Arizona State University

Also open to selected research collaborations and contract projects.

Selected publication2026
Science · Research article

Epigenetic aging and transposon dysregulation reflect size-related lifespan compression in dogs.

Lead-author research connecting molecular aging with lifespan differences in companion dogs.

1,640METHYLOMES
894DOGS
ScienceOCTOBER 2026 ↗
01 / Research

The questions behind the data.

My work spans molecular mechanisms, population-scale genomics, and the analysis systems that make ambitious biological studies possible. A recurring focus is understanding why individuals and species differ in aging and health.

01 / Published research

The molecular architecture of aging

With the Dog Aging Project, I investigate DNA methylation, transposable elements, biological age, and their relationship to lifespan. Our 2026 Science study identified distinct epigenetic patterns associated with sex and body size in dogs.

Read the Science paper
02 / Ongoing research

From genetic variation to phenotype

I integrate genotype, epigenomic variation, and complex traits using GWAS, methylation-QTL mapping, Mendelian randomization, and colocalization—aiming to move beyond association toward more informative biological hypotheses.

Statistical genetics · Multi-omics
03 / Cross-species biology

Conserved mechanisms, different systems

My earlier work examined proteostasis, stress-response signaling, and lifespan regulation in experimental models. Current and collaborative projects extend that comparative approach to diverse genomic and molecular datasets.

Explore related research
How I approach a problem

A good analysis is not just statistically defensible. It should clarify the biology, withstand scrutiny, and help determine what to investigate next.

02 / Expertise

Scientific depth, technical range.

I often work across the full research lifecycle—from designing the statistical approach and building the pipeline to interpreting results, developing figures, and shaping a manuscript.

Genomics & epigenomics

DNA methylation, epigenetic clocks, meQTLs, GWAS, allele-specific expression, genotype imputation, ancestry, comparative and multi-omic analysis.

Statistical inference

Mixed-effects and longitudinal models, high-dimensional testing, survival analysis, causal-inference methods, fine-mapping, colocalization, and sensitivity analyses.

Scalable scientific computing

R, Python, Bash, SLURM/HPC, reproducible pipelines, data integration, workflow validation, computational troubleshooting, and publication-ready visualization.

03 / Selected writing

Published work.

A selection of first-author and collaborative research across aging biology, genomic regulation, microbial ecology, and cellular stress responses.

View publications and citations on Google Scholar
04 / Background

An engineer's training. A biologist's questions.

My path through engineering and molecular biology informs how I work: quantitatively, experimentally grounded, and comfortable moving between methods and mechanisms.

Research experience

Research Scientist · Computational Genomics

Dog Aging Project · Snyder-Mackler Lab, Arizona State University

Population-scale epigenomics and statistical genetics of aging, with an emphasis on reproducible analysis, biological interpretation, and collaborative research.

Doctoral research · Molecular Biology of Aging

McCormick Lab, University of New Mexico

Multi-omic investigations of stress-response pathways, proteostasis, and lifespan regulation across model systems.

Education

PhD · EngineeringUniversity of New Mexico · Graduated with distinction
MSc · Biomedical EngineeringUniversity of New Mexico
BA · Mathematics & Biological SciencesUniversity of Denver

Outside research, I pursue endurance cycling and have taught in Ecuador and led outdoor programs in Maine. In 2026, I rode the Leadville Trail 100 MTB while fundraising for First Descents.

Independent collaborations · Mariner Genomics LLC

Good science is collaborative.

Alongside my research appointments, I take on select contract and collaborative projects through Mariner Genomics LLC. I am particularly interested in work that calls for scientific ownership: defining a tractable question, designing and implementing the analysis, and translating the findings into a defensible scientific result.

Areas where I can contribute
  • Genomic and epigenomic study design & analysis
  • Statistical genetics and multi-omic integration
  • HPC pipelines, validation & reproducibility
  • Scientific interpretation, figures & manuscripts
Discuss a project

Based in Denver, Colorado. Collaborating with research teams across institutions.