Ray Pomponio is a data scientist with eight years of experience applying statistical rigor to public health, clinical research, and product analytics. He designs and operates end-to-end clinical data pipelines, recently leading a CDC-sponsored national pediatric respiratory surveillance study and publishing in mBio. With an MS in Biostatistics and a Wharton economics background, he blends causal inference and predictive modeling to produce actionable insights that inform policy and regulatory decisions. Ray has built widely used open-source tools for neuroimaging harmonization (100+ GitHub stars, heavily cited) and accelerates multicenter research by turning months-long preprocessing into days. As an independent consultant he advised FDA-focused study designs and business analytics for e-commerce, demonstrating versatility across domains and stakeholders. He pairs strong governance and reproducible software practices with an eye for translating complex models into clinical and operational impact.
8 years of coding experience
5 years of employment as a software developer
Master of Science, Biostatistics, Master of Science, Biostatistics at University of Colorado Denver
Nondegree, Biostatistics, Nondegree, Biostatistics at University of Pittsburgh
Bachelor of Science, Economics, Bachelor of Science, Economics at The Wharton School
Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).
Contributions:11 releases, 17 commits, 16 PRs in 3 years 2 months
Contributions:30 pushes, 3 branches in 1 year 4 months
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