bioinformatics & aging

Genomics, DNA methylation, RNA-seq, pipelines, and reproducible analysis in any organism. I help teams turn messy -omics into clean, interpretable results for follow-up analyses. I have documented experience from working with data from simple model organisms (yeast, nematodes), cell culture (HeLa, fibroblasts), and heterogeneous mammals (humans, dogs).

About

I'm a bioinformatics researcher focused on epigenetics and aging. I build robust, scalable workflows (R, Python, Nextflow, SLURM) and translate complex results.

• Specialties: methylation clocks, meQTL, GWAS, RNA-seq
• Tooling: R (tidyverse, Bioconductor), Python, Nextflow/Snakemake, PLINK/GCTA
• Compute: HPC at scale, cloud-ready pipelines, reproducible containers

Selected Highlights

• Quantified reverse transcriptase inhibitors as a class of drug that can activate autophagy in mammals via conserved hormetic pathways using RNA sequencing (PhD)
• Discovered faster transposon methylation erosion in larger dog breeds using a 900+ sample DNA methylation dataset with the Dog Aging Project (Postdoc)

Education

• Ph.D., Engineering, University of New Mexico — Graduated with distinction. Advisor: Mark A. McCormick, Ph.D.
• M.Sc., Biomedical Engineering, University of New Mexico — Concentration in Cellular & Molecular Systems
• Undergraduate, University of Denver — Double major in Mathematics & Biological Sciences

Publications

• Induction of proteasomal activity in mammalian cells by lifespan-extending tRNA synthetase inhibitors — GeroScience (2023). DOI: 10.1007/s11357-023-00938-8
• Multiomics of GCN4-Dependent Replicative Lifespan Extension Models Reveals Gcn4 as a Regulator of Protein Turnover in Yeast — International Journal of Molecular Sciences (2023). DOI: 10.3390/ijms242216163
• Epigenomic Signatures of Lifespan Variation in Dogs: Findings from the Dog Aging Project — Science (in revision)

Full list on Google Scholar .

Contact

For contact, email blaisemariner17@gmail.com.

Support