Stephen Lauer
Director, Data Science
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolStephen Lauer is a Director of Data Science with 12 years of experience who applies a PhD in Biostatistics to deliver fast, production-ready causal inference for healthcare clients. He specializes in program evaluation that accounts for complex realities—confounding comorbidities, interference between interventions, and member-level variable start dates—while translating results into client-ready visualizations and actionable recommendations. At Certilytics he automated and optimized analyses and built an R package that turned multi-day, large-scale causal analyses into minute- or second-scale workflows without sacrificing methodological rigor. His academic work at Johns Hopkins and UMass combined forecasting, now-casting, and new causal methods for infectious disease, including early COVID incubation and seroprevalence studies. Comfortable bridging Clinical, Actuarial, and Research teams, he brings both deep statistical theory and pragmatic software engineering to production analytics. Outside of work he pursues interests in sports, voting reform, and game design, reflecting a curiosity for systems, strategy, and real-world impact.
12 years of coding experience
8 years of employment as a software developer
Operations Management, Business, Statistics, Sports, Operations Management, Business, Statistics, Sports at University of Maryland - Robert H. Smith School of BusinessUniversity of Massachusetts Amherst
English, Chinese
Github Skills (64)
r-package10
journal9
r9
data-visualisation9
unconf9
grammar9
machine-learning7
shiny7
paper7
forecasting7
knitr7
dplyr7
python7
rmarkdown7
data-visualization7
Programming languages (6)
Github contributions (5)
reichlab/annual-predictions-paper
Apr 2017 - Jan 2018
Contributions:5 releases, 26 commits, 20 pushes in 9 months
gridclub/GRiD-Constitution
Oct 2015 - Apr 2016
Contributions:16 commits, 4 PRs, 13 pushes in 6 months
constitution
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