Rahul Paul
Data Scientist
Derwood, Maryland, United States
Summary
👤
Senior🎓
Top SchoolRahul Paul is a data scientist with 10 years of experience applying machine learning, deep learning, and radiomics to biomedical problems, currently working on bioinformatics, NLP, and ML projects at the FDA. He holds a PhD in Computer Science from the University of South Florida and has translated academic research into clinical-impact studies at Harvard Medical School/Mass General and USF, including predicting lung cancer malignancy two years before diagnosis and modeling neonatal pain from multimodal data. His work spans medical imaging, statistical modeling, and data mining, with hands-on experience in segmentation, prognostic modeling, and radiation effect analysis across cancers and neurological conditions. Rahul blends rigorous research with applied deployment in collaborative settings and has participated in high-profile challenges such as COVID EHR competitions, reflecting both domain depth and practical problem-solving. An understated strength is his consistent focus on longitudinal and prognostic modeling—leveraging baseline scans and clinical variables to forecast outcomes rather than just classify snapshots.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of South Florida
Hindi, Bengali, English
Github Skills (93)
python10
adapter10
pytorch10
dcgan10
machine-learning10
generative-model10
autoencoder9
feature-extraction9
matconvnet9
mnist9
deep-learning9
generative9
survival-analysis9
data-science9
tensorflow9
Programming languages (9)
Github contributions (5)
hellorp1990/Covid-19-USF
Apr 2020 - Apr 2020
COVID 19 X-ray image classification
Contributions:15 commits, 14 pushes, 1 branch in 9 days
x-rayraypythondeep-learningcomputer-vision
hellorp1990/CNN-architectures
Dec 2019 - Sep 2020
Contributions:7 pushes, 1 branch in 8 months
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