Herb Susmann
Postdoctoral Researcher at NYU Grossman School of Medicine
New York, New York, United States
Summary
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Senior🎓
Top SchoolHerb Susmann is a postdoctoral researcher and quantitative scientist with 13 years of experience bridging software development and advanced biostatistical methods. Trained in mathematics and holding a PhD in Biostatistics, he has built tools for public-facing environmental health studies, led a widely used exposure-reporting web app and mobile app, and now develops causal inference and probabilistic forecasting methods at NYU. His work spans Bayesian hierarchical temporal modeling, targeted learning, and ensemble time-series prediction, informed by international research stints in Paris and collaborations with leaders in statistics. He combines hands-on software engineering from his Silent Spring Institute years with rigorous semi-parametric and causal methodology, applying that blend to global health, climate, and political economy problems. An understated strength is his track record of translating complex statistical models into accessible tools for nontechnical audiences.
13 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Massachusetts AmherstBA, Mathematics, BA, Mathematics at State University of New York College at Geneseo
Stackoverflow
91reputation
2kreached
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Github Skills (30)
r-package10
survival-analysis9
longitudinal-data9
copula8
cdc8
causal-inference7
statistics7
causal7
ruby-on-rails6
machine-learning6
policies6
molecule6
webrick6
parametric5
renderer5
Programming languages (6)
Github contributions (5)
herbps10/rlme
Oct 2017 - Nov 2022
Contributions:5 pushes, 1 branch, 1 comment in 5 years 1 month
herbps10/herbps10.github.io
Oct 2016 - Oct 2022
Contributions:161 commits, 195 pushes, 1 branch in 6 years
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