Javier Diaz-mejia is a Senior Bioinformatics Analyst with eight years of experience uniting data science, computational biology, and product-focused thinking to advance multi-omics drug discovery and translational research. He has led and scaled data science teams and cross-institutional collaborations—from academic genome centers to startups—delivering ML and bioinformatics pipelines that integrate proteomics, transcriptomics, spatial and single-cell data for partners including MJFF and the ASAP Network. His work bridges method development and practical deployment, having reduced reagent and time costs dramatically in sequencing-based assays and shepherded projects that consolidated tens of thousands of protein interactions into actionable drug targets. Comfortable managing both people and complex datasets, Javier combines deep domain expertise (PhD in Computational Biology and Biochemistry) with hands-on engineering to move multimodal -omics efforts from R&D into production. An often overlooked strength is his track record of reviving stalled projects and turning fragmented experimental-computational efforts into coordinated programs that deliver publishable insights.
8 years of coding experience
27 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Fulbright-Garcia Robles Scholar Visitor Network biology, Fulbright-Garcia Robles Scholar Visitor Network biology at University of Notre Dame
Canadian Bioinformatics Workshops 2021 - Cancer Analysis (CAN), Module 7 - single cell RNA
Contributions:31 commits, 2 PRs, 23 pushes in 1 day
genomicscancerbioinformaticscanadianrna-seq
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