PhD Candidate · UC San Diego · Expected 2027

Eduardo
Charvel

Evolutionary biologist and bioinformatician building computational tools for population genomics and phylogenomics: from genome skimming to eDNA for biodiversity monitoring.

Research

Population Genomics

ReSkmer

Models genome repetitiveness, coverage, and sequencing error to compute accurate k-mer-based genomic distances from low-coverage genome skims. Published in Genome Biology (2026).

Read paper →
Population Genomics

DipSkmer

Reference-free population genomics with diploid genome skims — extending the genome skimming framework to explicitly model heterozygosity for accessible nucleotide diversity estimation. Preprint Available in BioRxiv 2026.

Read paper →
Phylogenomics

EM-based phylogenetic dating

Expectation-maximization approach enabling phylogenetic dating under a categorical rate model, improving accuracy of divergence time estimation. Systematic Biology (2024).

Read paper →
Conservation

eDNA & marine conservation

Collaboration with the Field Museum and Minderoo Foundation to improve detection of environmental DNA for population health tracking and marine species conservation.

Selected work

2026

DipSkmer: Reference-free population genomics with diploid genome skims

Charvel E., Alves Monteiro H.J., Mirarab S., Bafna V.

bioRxiv (preprint)

doi →
2026

ReSkmer: modeling repeats allows k-mer-based alignment-free methods to calculate population genomic distances

Charvel E., Thomas I., Alves Monteiro H.J., Sarmashghi S., Dunshea G., Bafna V., Mirarab S.

Genome Biology

doi →
2024

Expectation-maximization enables phylogenetic dating under a categorical rate model

Mai U., Charvel E., Mirarab S.

Systematic Biology, 73(5): 823–838

doi →
2026
Software ReSkmer v0.1.0

Charvel E., Sarmashghi S., Rachtman E., Thomas I., Alves Monteiro H.J., Bafna V., Mirarab S.

Zenodo

Github →

Invited talks

2025

Updated Skmer Improves Reference- and Alignment-Free Population Genomics

Genome Skimming Symposium @ Botany · Palm Springs, CA

2024

Genome Skimming Workshop

Field Museum, Grainger Bioinformatics Center · Chicago, IL

Recognition

2023

Field Museum Grainger Bioinformatics Center Fellow

2022

San Diego Match Fellowship

2022

UCSD Sloan Scholar — University Center of Exemplary Mentoring

2021

NIH Minority Biomedical Research Support — Initiative for Maximizing Student Development

2021

USDA Hispanic Serving Institutions Program Grant

About

I'm a PhD Candidate in Bioinformatics & Systems Biology at UC San Diego, working in the Mirarab Lab. My research focuses on building reference-free, alignment-free genomic tools that make population genomics accessible without expensive references and high coverage, and modeling how complex genome characteristics (such as repetitiveness and diploidy) interact with and bias the Jaccard Index.

I am also in active collaboration with the Field Museum and the Minderoo Foundation to develop environmental DNA methods for population monitoring and conservation.

  • Phylogenomics & molecular evolution
  • Population genetics & genomics
  • Conservation genomics
  • Genome skimming methods
  • Alignment-free sequence analysis
  • Metagenomics & eDNA
Eduardo sampling Salvia brandegeei during fieldwork on Santa Rosa Island

Sampling Salvia brandegeei · Santa Rosa Island

Get in touch

Let's connect.