Pooya Mobadersany
Principal Scientist AI ML at Johnson & Johnson Innovative Medicine
United States
Summary
👤
Senior🎓
Top SchoolPooya Mobadersany is a Principal Scientist in AI/ML with a decade of experience applying machine learning and computational pathology to cancer prognostication, currently leading research efforts at Johnson & Johnson Innovative Medicine. He develops scalable algorithms that extract prognostic features from high-dimensional, unstructured histopathology data and translates those models into clinically relevant survival predictions. Pooya’s background spans academic and industry research—from a PhD in Biomedical Informatics at Emory and a predoctoral fellowship at Northwestern to internships at Novartis—giving him a rare mix of rigorous methodology and product-oriented deployment experience. He focuses on survival analysis and interpretable modeling, pairing deep learning with domain knowledge to surface actionable insights for patient outcomes.
10 years of coding experience
4 years of employment as a software developer
PhD, Biomedical Informatics/Computer Science and Informatics, PhD, Biomedical Informatics/Computer Science and Informatics at Emory University School of MedicinePredoctoral Fellow, Computational Pathology, Predoctoral Fellow, Computational Pathology at Northwestern University - The Feinberg School of Medicine
Github Skills (10)
neural-network10
machine-learning10
convolutional-neural-networks10
deep-learning10
tensorflow10
deep-neural-networks10
python10
data-science10
ml10
survival9
Programming languages (1)
Github contributions (3)
PathologyDataScience/SCNN
Mar 2018 - Apr 2021
Survival Convolutional Neural Networks
Contributions:16 commits, 1 PR, 48 pushes in 3 years 1 month
deep-learningconvolutionalneural-networksneural-networksurvival
Saharati90/DeepHPC
Mar 2016 - May 2016
Contributions:31 pushes, 1 branch in 1 month
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