Curtis Lisle is a Principal Machine Learning Engineer and founder with over a decade of applied research experience bridging computer graphics, biomedical imaging, and AI for life sciences. He combines a PhD in computer science with hands-on engineering dating back to custom graphics hardware at GE and visualization leadership at SGI, and now develops and deploys ML methods for preclinical research at NIH/NIAID. Curtis has 18+ years of medical image segmentation and deep learning work—building 3D Slicer modules, training cancer-detection networks, and operating large medical image archives—while also leading NSF-funded biology platform efforts like Arbor. He is skilled at end-to-end ETL for model training and translating domain scientist needs into production-ready analysis tools through his company KnowledgeVis. Based in Florida, he brings a rare mix of low-level systems know-how, visualization pedigree, and biomedical AI expertise to tackle complex scientific problems.
13 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Central Florida
Contributions:20 commits, 13 PRs, 40 pushes in 3 years 2 months
arbornsfbundlecomparativebioinformatics
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Curtis Lisle - Principal Machine Learning Engineer at Axle