Ahmed Youssef is a bioinformatics scientist and PhD-trained researcher with a decade of experience building computational tools for precision oncology, proteomics, network medicine, and single-cell biology. Currently at Acrivon Therapeutics in Boston, he translates multi-omics data into actionable insights using machine learning and network-based methods. His PhD work at Boston University produced novel algorithms to infer cell-level molecular profiles from bulk data and tools to profile dynamic protein interaction remodeling, contributing to papers in journals like Nature Communications, Cell Systems, and Molecular Cell. He has presented at major conferences (ISMB, RECOMB), taught graduate bioinformatics courses and mentored students on interdisciplinary projects. Comfortable spanning software engineering and wet-lab collaborations, he brings both production-ready pipelines and published research to therapeutic discovery. Notably, he specializes in recovering transient cell states computationally—addressing experimental blind spots that unlock new angles on cancer progression.
10 years of coding experience
Computer Science & Engineering, Computer Science & Engineering at The German University in Cairo
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Fordham University
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Boston University
Contributions:21 commits, 20 pushes, 1 branch in 1 month
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