Henry Ngo is a Director of Data Strategy in the BC Public Service with nine years of experience translating scientific rigor into public sector data and analytics programs. A planetary astronomer-turned-data-scientist with a Caltech PhD, he applies Bayesian statistics, machine learning and a researcher's curiosity to public health surveillance, environmental policy and service transformation. He has progressed from hands-on research in exoplanets and observational astronomy to leading analytic teams that inform provincial health and environmental decisions. Known for combining quantitative analysis with clear policy-minded communication, he brings a rare mix of deep technical modeling experience and practical, government-facing delivery. Based in Victoria, BC, he also carries an academic lineage of teaching Bayesian analysis and publishing research that informs how he frames complex, data-driven problems.
9 years of coding experience
11 years of employment as a software developer
California Institute of Technology
Bachelor’s Degree, Physics and Astronomy, Bachelor’s Degree, Physics and Astronomy at The University of British Columbia
Master’s Degree, Astronomy, Master’s Degree, Astronomy at Queen's University
VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.
Contributions:15 pushes, 3 tags in 4 years 10 months
pythondiskexoplanetimagingangular
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