Danielle Mccool is a research engineer and postdoc at Utrecht University with 11 years of experience bridging statistics, survey methodology, and sensor-based data collection. She holds a PhD on missing data in human movement trajectories and now leads technical infrastructure and methodological work on the D3I data-donation project, shaping how digital trace collection affects participation and data quality. Comfortable coding across languages since childhood, she combines hands-on pipeline development with translating complex methods for stakeholders like Statistics Netherlands. Her work uniquely spans smart surveys, spatial statistics, and the practical challenges of integrating heterogeneous data sources that weren’t built to interoperate. Colleagues rely on her to design sampling schemes, debug messy pipelines, and explain tricky methodological trade-offs in clear, usable terms.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Psychology, Bachelor of Science (B.Sc.), Psychology at Texas Woman's University
Doctor of Philosophy, Statistics, Doctor of Philosophy, Statistics at Utrecht University
Contributions:25 commits, 27 pushes, 1 branch in 22 days
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Danielle Mccool - Postdoc Research Engineer at Utrecht University