Attayeb Mohsen - Head Of Computational Biology And AI Department

Attayeb Mohsen

Head Of Computational Biology And AI Department

Osaka, Japan

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Summary

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Senior

🎓

Top School

Attayeb Mohsen is Head of Computational Biology and AI with 11 years of interdisciplinary experience applying machine learning, deep learning, and Bayesian methods to drug discovery, microbiome analysis, and biomedical imaging. Based in Osaka, he combines a medical background (MBBS, PhD in Medical Sciences) with hands-on bioinformatics—building and automating QIIME pipelines (Auto-q, Snaq), training research groups, and deploying Snakemake workflows. His award-winning work includes predictive models for adverse drug events and NLP analyses of medical literature using Word2Vec, and he has contributed to denoising MCG traces with international collaborators. As a postdoc and visiting researcher at prominent Japanese institutes he has led technical trainings and cross-lab collaborations in platelets, COVID-19 modeling, and explainable ML. He uniquely bridges clinical insight and production-ready data pipelines, enabling translational projects from noisy signals to actionable genomic and phenotypic predictions.

10 years of coding experience

Doctor of Philosophy (PhD), Medical sciences, Doctor of Philosophy (PhD), Medical sciences at Tohoku University

Bachelor of Medicine, Bachelor of Surgery - MBBS, Medicine, Bachelor of Medicine, Bachelor of Surgery - MBBS, Medicine at University of Benghazi (Garyounis)

University of Pretoria

Arabic, English, Japanese

Github Skills (6)

python9

snakemake8

pipeline7

discounts5

filter1

filtering1

Programming languages (3)

HTMLPythonKotlin

Github contributions (5)

attayeb/snaq

Sep 2021 - Jul 2022

Qiime2 snakemake pipeline

Contributions:8 releases, 301 commits, 2 PRs in 9 months

pipelinesnakemakeqiime2snakemake-pipelineworkflow

attayeb/attayeb.github.io

Jul 2019 - Jun 2022

Contributions:1 PR, 52 pushes, 2 branches in 2 years 11 months

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