Miguel Ibarra-arellano
PHD Candidate
Eppelheim, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolMiguel Ibarra-Arellano is a PhD candidate and data scientist with 10 years of experience applying machine and statistical learning to biomedical data, currently based at University Hospital Heidelberg. His trajectory spans research and engineering roles—from text mining and knowledge assembly for colorectal cancer at Fraunhofer to building scientific software at the University of Florida and data science at the University of Bonn—bridging computational methods and life sciences. He holds a BSc in Genomic Sciences and an MSc in Life Science Informatics, and is completing postgraduate work in highly multiplexed imaging analysis, reflecting deep domain expertise in genomics and imaging. Known for integrating diverse data sources into actionable insights, he combines hands-on software development with rigorous research methodology.
10 years of coding experience
6 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)Postgraduate Degree, Highly Multiplexed Imaging Analysis, Postgraduate Degree, Highly Multiplexed Imaging Analysis at Heidelberg UniversityMSc in Life Science Informatics, Informatics, MSc in Life Science Informatics, Informatics at The University of Bonn
Spanish, English, German, Japanese
Github Skills (33)
test-data10
testing10
forge10
nextflow10
galaxy10
nf-core10
pipeline9
python8
deep-learning8
gpu8
conda8
machine-learning8
conda-forge7
neural-network6
tensorflow6
Programming languages (5)
Github contributions (5)
migueLib/sandbox
Nov 2016 - Oct 2020
Contributions:27 pushes, 1 branch in 4 years
SchapiroLabor/micronuclAI
May 2024 - Mar 2025
Automated identification of micronuclei for chromosomal instability (CIN) quantification.
Contributions:6 releases, 6 PRs, 80 pushes in 9 months
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