Walter Wiggins
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolWalter Wiggins is a neuroradiologist and clinical AI leader with nine years of experience bridging diagnostic neuroradiology, image-guided spine intervention, and production AI systems. Currently Director of Clinical AI at Radiology Partners and Adjunct Assistant Professor at Duke, he oversees validation, deployment, and monitoring of AI tools across a network of thousands of radiologists and sites. He has led clinical AI research at Duke, developed standardized annotation and failure‑analysis methods at MGH/BWH CCDS, and advised AI startups on U.S. strategy for neuroimaging. Walter combines hands‑on clinical practice with expertise in LLMs for report analysis, information extraction, and model monitoring to measurably improve radiologist efficiency and patient care. His background includes an MD/PhD in neuroscience and early work in medical education and research, giving him rare depth in both clinical science and AI implementation. Colleagues value his ability to translate complex model performance issues into operational policies that scale across large health systems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Wake Forest University Graduate SchoolBS Mathematics Chemistry, BS Mathematics Chemistry at Davidson CollegeMD Medicine & Surgery, MD Medicine & Surgery at Wake Forest University School of Medicine
Spanish
Github Skills (25)
pytorch10
python10
machine-learning10
fastai10
deep-learning10
gpu10
data-science9
installer8
ai8
powershell7
medical-imaging6
dicom6
windows6
nbdev5
nlp5
Programming languages (5)
Github contributions (5)
wfwiggins/wfwiggins.github.io
Oct 2018 - Jul 2020
Contributions:50 commits, 45 pushes in 1 year 8 months
RSNA/AI-Deep-Learning-Lab-2021
Nov 2021 - Apr 2022
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
Contributions:77 commits, 43 PRs, 64 pushes in 5 months
aideep-learning
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