Junhan Fang
Senior Statistician II
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolJunhan Fang is a senior statistician with 11 years of experience applying causal inference, biostatistics, and machine learning across academia, healthcare, and finance. Currently at AstraZeneca after data science work at Roche and methodological research at Yale, Junhan specializes in designing causal methods for complex cluster and network-randomized trials, spillover estimation, and sample size/power calculations for intervention studies. He brings practical imaging and high-dimensional exposure analysis experience from neuroimaging and air pollution research, plus hands-on modeling in ALM and survey data management using R, SAS, SQL and Bayesian tools. Known for translating rigorous methods into teaching materials and consultative collaborations, he combines deep statistical theory with production-ready analytics in clinical and public-health settings. Unexpectedly, his background spans both brain imaging tractography and large-scale trial design, giving him a rare bridge between neuro-methods and population-level causal inference.
11 years of coding experience
6 years of employment as a software developer
Master of Science in Public Health, Biostatistics, Master of Science in Public Health, Biostatistics at Emory UniversityBachelor of Arts (BA), Statistics, Bachelor of Arts (BA), Statistics at Southwestern University of Finance and EconomicsDoctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at University of Waterloo
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
sherlyntoh26/AsAndWhenYouLike
Nov 2016 - Nov 2016
Contributions:9 pushes in 1 day
cs2103jan2015-f11-4c/main
Feb 2015 - Apr 2015
Contributions:62 commits, 50 pushes, 1 comment in 2 months
f11cs2103
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