Michael Nagle
Staff Scientist I at Lieber Institute for Brain Development
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolMichael Nagle is a Staff Scientist I at the Lieber Institute for Brain Development with nine years of experience applying generative AI and deep learning to biology, currently leading an AWS Imagine Pathfinder–supported project on fine-tuning diffusion, flow-matching and GPT models for drug design. He brings a rare blend of hands-on molecular biology (CRISPR design, cloning, large-scale phenotyping) and production-grade ML tooling—authoring Python/R packages that processed tens of terabytes of hyperspectral data and ran 100,000+ core-hours for GWAS. His prior work developed CubeGLM and CubeML for hyperspectral semantic segmentation and used GANs for data augmentation, demonstrating strong systems and software engineering alongside wet-lab expertise. Based in Baltimore, he bridges academic rigor and translational impact, focused on making AI/biotech advances practical for sustainability and human health. An interesting under-the-hood detail: his pipelines achieved over 2GB/min processing on consumer hardware, showing attention to efficiency as well as accuracy.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Broadcast Journalism, chemistry minor, emphasis in science communication/journalism, Bachelor of Arts - BA, Broadcast Journalism, chemistry minor, emphasis in science communication/journalism at American UniversityDoctor of Philosophy - PhD, Molecular and Cellular Biology, with minor in Biological Data Sciences, Doctor of Philosophy - PhD, Molecular and Cellular Biology, with minor in Biological Data Sciences at Oregon State UniversityBachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at University of Maryland
Github Skills (51)
jupyter-notebook8
stringi8
stringr8
jupyter7
notebook7
bioinformatics7
viewer7
genome7
genomics6
keras6
genomics-visualization6
unicode6
spelling6
jupyterlab6
r-package6
Programming languages (5)
Github contributions (5)
naglemi/cubeglm
Sep 2020 - Dec 2023
Python CPU implementation of GLM for quantifying fluorophores in fluorescent hyperspectral images
Contributions:10 PRs, 221 pushes, 12 branches in 3 years 3 months
naglemi/mtmcskat
Nov 2020 - Sep 2023
Contributions:66 pushes, 1 branch in 2 years 10 months
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