Atnatiwos Gebremedhin is a computational biology undergraduate and hands-on researcher bridging wet-lab experience with production-grade computational workflows to tackle problems in protein design, RNA-Seq, and antibiotic resistance. With eight years of experience across university labs and industry, he develops Nextflow pipelines, leverages AlphaFold and GROMACS for structural and dynamics studies, and applies machine learning and clustering (HDBSCAN) to prioritize peptide binders. Comfortable coding in Python and deploying analyses on SLURM HPC systems, he translates structural pocket features into model-ready inputs and automates complex bioinformatics tasks. He also mentors and teaches—having built Python curricula and supported first-generation students—bringing strong communication skills for interdisciplinary teams. Currently a Computational Chemist Intern in Greater Boston, he’s driven to apply computational insight to real-world medical and biotech challenges. An uncommon strength is his blend of end-to-end pipeline engineering with direct wet-lab intuition, enabling more biologically grounded computational models.
8 years of coding experience
1 year of employment as a software developer
Acton-Boxborough Regional High School
Bachelor of Applied Science - BASc Computational Biology, Bachelor of Applied Science - BASc Computational Biology at Rensselaer Polytechnic Institute
Contributions:7 pushes, 1 branch in 1 year 1 month
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