Open to opportunities

Gohar Rahman

@goharrahman1

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PhD candidate in genomics and bioinformatics, applying multi-omics and ML to biology.

Japan

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What I'm looking for

I’m looking for a role where I can build and run NGS/genomics pipelines, perform integrative multi-omics analyses, and apply machine learning to answer biological questions—while collaborating with a team that values rigorous, reproducible research.

I’m a PhD candidate specializing in genomics, bioinformatics, and mitochondrial genetics, funded by the Japanese Government MEXT Scholarship at Kanazawa University. My work focuses on integrative multi-omics analysis, GWAS/PheWAS, and NGS data pipelines, with an emphasis on extracting biologically meaningful signals from complex data.

I apply machine learning and deep learning approaches—using supervised/unsupervised learning, CNNs/RNNs/autoencoders, and feature selection methods like PCA/UMAP/t-SNE—to predict phenotypic outcomes from genotype data. I also bring hands-on expertise with core tools and workflows (from alignment and variant calling to PLINK/GATK/BWA/Snakemake) and a proven track record of peer-reviewed publications across genomics, population genetics, and biomedical research.

Experience

Work history, roles, and key accomplishments

Current

PhD Candidate (Genomics)

Current

Kanazawa University

Sep 2022 - Present (3 years 9 months)

Conducts PhD research in genomics and bioinformatics under the MEXT Scholarship, focusing on integrative genome–phenome analysis of mitochondrial DNA copy number in a Japanese cohort. Applies multi-omics analysis, GWAS/PheWAS, NGS pipelines, and machine/deep learning approaches to predict biological phenotypes and associations.

Mitochondrial DNA Analysis Multi omics Machine Learning Deep Learning PCA UMAP T SNE GATK

Education

Degrees, certifications, and relevant coursework

Kanazawa University

Doctor of Philosophy, Genomics & Bioinformatics

2022 -

PhD candidate specializing in genomics and bioinformatics funded by the Japanese Government MEXT Scholarship. Dissertation focuses on integrative genome–phenome analysis of mitochondrial DNA copy number in a Japanese cohort.