Michael Dejesus is a Bioinformatics Scientist with 11 years of experience translating complex biological data into actionable insights, currently applying his expertise at The Rockefeller University. He holds a Ph.D. in Computer Science from Texas A&M and has designed statistical and machine learning methods for large-scale genomics projects, including TnSeq and RNA-Seq analyses. Michael built and maintained TRANSIT, a widely used software package with 16 releases and extensive code contributions, and led development of a 4,000+ page NIH-funded project website, demonstrating strong full-stack and reproducible research practices. His work spans Bayesian statistics, pattern recognition, and AI-driven computational biology, backed by a substantial publication record. Known for quickly grasping abstract problems, he combines deep research rigor with product-minded implementation to move methods from lab to real-world application.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Texas A&M University
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Puerto Rico-Mayaguez
Repository for the TRANSIT and TPP tools developed by the Ioerger Lab
Contributions:6 PRs, 87 pushes, 2 branches in 9 years 6 months
transitlabiottppanalysis
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