John D'uva is a Senior Data Scientist in actuarial analytics at UnitedHealth Group with nine years of quantitative experience bridging high-frequency trading, computational neuroscience, and biomedical engineering. He holds an M.S.E. from Johns Hopkins focused on Neuroengineering and Biomedical Data Science and authored a thesis on convolutional non-negative matrix factorization for feature extraction from Neuropixel data. His background combines rigorous statistical and signal-processing research at Princeton and Hopkins with practical, production-oriented modeling in healthcare actuarial settings. Comfortable moving between research code and enterprise analytics, he brings a rare mix of neuroscience-informed machine learning and real-world risk modeling. Based in New Jersey, he also maintains an active GitHub showcasing his research tools and reproducible workflows.
9 years of coding experience
Diploma, AP Statistics, AP Physics, Hon. Calculus, AP Psychology, Diploma, AP Statistics, AP Physics, Hon. Calculus, AP Psychology at Ridgewood High School
Master's of Science and Engineering - M.S.E., Biomedical Engineering, Master's of Science and Engineering - M.S.E., Biomedical Engineering at Johns Hopkins Whiting School of Engineering
Bachelor's degree, Economics (B.A.), Class of 2015, Bachelor's degree, Economics (B.A.), Class of 2015 at University of Miami
Contributions:32 pushes, 1 branch in 1 year 3 months
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