Rachel Draelos
Founder & Principal Consultant at Glass Box Blog
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolRachel Draelos is a physician-engineer and founder who combines an MD with a PhD in computer science to build safe, practical AI for healthcare. As Founder & Principal Consultant at Glass Box Medicine she has completed 100+ engagements across specialties and data types, guiding AI strategy and implementation from EHRs and omics to 2D/3D medical imaging. She previously commercialized a clinical AI scribe platform at Cydoc, earned two U.S. patents, and ran a widely read Glass Box Medicine blog with over 700,000 viewers. Known for blending expert systems, classical ML, and modern deep learning/LLM techniques, she emphasizes robustness, interpretability, and clinical utility. Based in Durham, NC, she was the first to graduate from Duke with an MD and a Computer Science PhD, a detail that underscores her rare cross-disciplinary depth.
11 years of coding experience
14 years of employment as a software developer
Doctor of Medicine - MD, Doctor of Medicine - MD at Duke UniversityRedmond High SchoolBachelor of Arts (B.A.), Biological Sciences, concentration Computational Biology, Bachelor of Arts (B.A.), Biological Sciences, concentration Computational Biology at Cornell University
Github Skills (26)
xai10
expert-system10
convolutional-neural-networks10
grad-cam10
custom-model10
image-classification9
pytorch9
classification9
machine-learning9
visualizations9
radiology9
segmentation9
object-detection9
computer-vision9
python8
Programming languages (2)
Github contributions (5)
rachellea/glassboxmedicine
Jun 2019 - Sep 2020
Contributions:11 commits, 9 pushes, 1 branch in 1 year 3 months
rachellea/ct-net-models
Sep 2020 - Dec 2022
Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."
Contributions:6 commits, 5 pushes, 1 branch in 2 years 3 months
machine-learningmachine-learning-modelspythoncomputer-visionradiology
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