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Joseph Atemia — Curriculum Vitae

Postdoctoral Researcher | Computational Biologist | PhD
Weigel Lab · Max Planck Institute for Biology Tübingen

📧 mulamajose@gmail.com | j.atemia@fz-juelich.de
🔗 LinkedIn


About

I am a Postdoctoral Researcher in Computational Biology at the Max Planck Institute for Biology Tübingen, specializing in plant genomics and population genomics. My research leverages large-scale genomic data and computational approaches to uncover the molecular and evolutionary mechanisms underlying genetic diversity, adaptation, and phenotypic variation in plants.

Current Research: I investigate the genomics of Cucumis metuliferus (Horned melon), integrating genome-wide association studies, population genomics, and transcriptomic analyses to link genetic variation with ecological adaptation and agronomic traits.

Background: PhD in Bioinformatics from Heinrich Heine University Düsseldorf, where I conducted comprehensive genomic studies of teosinte (Zea mays ssp.), the wild relative of cultivated maize, to identify genetic resources for climate-resilient crop breeding.


Research Interests

  • NGS Genomics — whole genome/transcriptome sequencing & analysis
  • Population Genetics & Phylogenetics
  • Genome-Wide Association Studies (GWAS)
  • RNA-Seq — data processing and differential expression analysis
  • Bioinformatics Tool Development
  • Machine Learning in genomics

Technical Skills

Category Tools & Technologies
Languages Python, R, Bash
HPC / Computing SLURM, Sun Grid Engine, Git
NGS Analysis Alignment, assembly, annotation, variant calling
Statistics Linear/mixed models, multivariate analysis, GWAS
Wet Lab DNA/RNA extraction, quantification, PCR

Projects

Cucumis metuliferus (Horned Melon) Genomics

  • Investigating genetic variation and adaptation in C. metuliferus using GWAS, population genomics, and transcriptomics.
  • Linking genotype to phenotype for ecologically and agronomically relevant traits.

Comparative Genomics of Wild Relatives of Maize

  • Researched genetic diversity and local adaptation in Zea mays subsp. (teosinte) to identify traits for crop improvement under environmental stresses.
  • Managed end-to-end genomic data analysis pipelines, from raw sequencing data to biological insights.
  • Contributed knowledge to conservation and climate-resilient crop breeding initiatives.
  • A web-based tool designed to help researchers explore and interactively visualize complex gene expression datasets.
  • Enables exploration of plant omics data directly in the browser — no installation required.
  • A Rust-based tool that streamlines protein sequence annotation for genomics research.
  • Automates the process of generating human-readable descriptions for predicted protein sequences.

Population Genetics of Magnaporthe oryzae

  • Analyzed whole genome sequences to uncover genetic diversity and migration dynamics of the finger millet blast pathogen across Eastern Africa.
  • Applied bioinformatics pipelines for SNP detection, population clustering, and diversity metrics.

Publications

  1. Pan-genome Analyses of 226 Finger Millet-Infecting Magnaporthe oryzae Strains from Eastern Africa
    Peng Qi, Bochra A. Bahri, Jie Zhu, Hallie C. Wright, Kathryn A. Prado, Yunus Sahin, Hao Wang, Dong Won Kim, Brandon Mangum, Jane Grimwood, Jerry Jenkins, Joseph M. Atemia, et al. — bioRxiv, 2025
    Read preprint

  2. From Habitat to Genotype: The Complex Interplay of Climate, Phenotypes, and Taxonomy in Teosinte
    Joseph Atemia†, Wegier Ana, Rivera-Rodríguez Diana, et al.
    Read preprint

  3. GXP: Analyze and Plot Plant Omics Data in Web Browsers
    Constantin Eiteneuer†, David Velasco†, Joseph Atemia†, et al. — Plants, 2022
    Read publication


Presentations

Year Conference Location
2024 International Plant & Animal Genome Conference (PAG) San Diego, USA
2022 German Conference on Bioinformatics (GCB) Halle (Saale), Germany
2020 International Conference on Intelligent Systems for Molecular Biology (ISMB) Virtual
2020 Horticultural Association of Kenya Conference Virtual

Professional Development

  • Helmholtz HIDA Incubator Summer Academy — Statistical Learning, Jülich, Germany
  • Advanced Bioinformatics (AfriBOP 2019) — Facilitator, Kenya
  • Data Mining & Integration (NoSQL, SPARQL) — Pwani University, Kenya
  • EuPathDB & CliniEpiDB Data Resources Workshop — icipe, Kenya

Professional Memberships

  • Africa Society for Bioinformatics and Computational Biology (ASBCB)
  • Rotary International — Rotaract Club of Kilifi