Christina Bohk-ewald
Senior Data Scientist And Lead Statistician Analytical Performance Evaluation (APE)
Klein Schwaß, Mecklenburg-Vorpommern, Germany
Summary
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Senior🎓
Top SchoolChristina Bohk-ewald is a Senior Data Scientist and Lead Statistician with eight years of experience translating rigorous quantitative methods into actionable evaluation for genetic medicine and public health. At varvis® she leads analytical performance evaluation for complex NGS assays (IVDR class C), combining expertise in SNV/Indel, CNV, tandem repeats and structural variant analysis with strong validation and visualization practice. Previously she spent a decade in academic demography at top institutes (Max Planck, University of Helsinki, University of Amsterdam, Universität Rostock), publishing widely across PNAS, The Lancet and Demography and developing open-source probabilistic forecasting tools. Her work blends mathematical demography, Bayesian and Monte Carlo simulation, and model validation to produce statistically sound forecasts and performance metrics. Known for turning methodological depth into practical pipelines, she brings a rare mix of population-health rigor and hands-on genomic analytics.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Demography and Population Studies, Summa cum laude (with distinction), Doctor of Philosophy - PhD, Demography and Population Studies, Summa cum laude (with distinction) at Universität Rostock
Github Skills (4)
revit-api3
infection3
scenarios2
cheat-engine2
Programming languages (1)
Github contributions (5)
christina-bohk-ewald/demographic-scaling-model
Apr 2020 - Jan 2021
Contributions:14 commits, 10 pushes, 1 comment in 9 months
christina-bohk-ewald/2021-COS-D407-scientific-modeling-and-model-validation
Nov 2021 - Dec 2021
Contributions:10 commits, 9 pushes, 1 branch in 1 month
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