Nerissa Nance
Lead Data Scientist
Denmark
Summary
👤
Senior🎓
Top SchoolNerissa Nance is a Lead Data Scientist with nine years’ experience applying causal inference and biostatistical methods to large-scale healthcare data, now leading data science at Novo Nordisk from Denmark. Trained at UC Berkeley (PhD in Epidemiology) and seasoned at Kaiser Permanente, she combines rigorous academic research with hands-on EHR analysis, SQL/R programming, and reproducible reporting (R Markdown/LaTeX). Her work focuses on causal methods for real-world evidence—recently on diabetes second-line therapies and their dementia and cardiovascular effects—bridging industry, academia, and public health. She has coauthored numerous publications and led field impact evaluations in global health, reflecting a rare mix of policy-relevant program evaluation and production-ready analytic delivery. Notably, she has experience teaching causal inference labs and translating complex longitudinal causal models into actionable guidance for clinicians and stakeholders.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Epidemiology, Doctor of Philosophy - PhD Epidemiology at University of California, Berkeley
Kiswahili, Portuguese, Spanish
Github Skills (8)
science2
meta-analysis2
r-package2
mixed-models2
python2
machine-learning1
econometrics1
data-science1
Programming languages (1)
Github contributions (5)
nerissanance/KP-R-Intro-Workshop
Nov 2018 - May 2019
Contributions:1 PR, 63 pushes, 1 branch in 5 months
nerissanance/cvd_simulation
Oct 2022 - Feb 2023
Contributions:11 commits, 27 pushes, 1 branch in 4 months
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