Lianne Ippel
Methodologist at Centraal Bureau voor de Statistiek
Limburg, Netherlands
Summary
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Senior🎓
Top SchoolLianne Ippel is a methodologist and postdoctoral-trained researcher with nine years of experience applying advanced statistical methods to real-world data, currently shaping methodology at the Dutch national statistics office (CBS). She earned a PhD on multilevel modeling for streaming data—work that won a best-thesis award—and has tackled practical problems from exact standard-error estimation in computer-adaptive testing to online updating algorithms for repeated-measures models. Her expertise spans quantitative sociology, measurement invariance, missing data, and the ethical use of machine learning, bridging rigorous methodology with applied data-science questions. Colleagues rely on her ability to translate complex statistical theory into scalable procedures for large and streaming datasets, and she brings a rare combination of academic distinction and public-sector impact from Limburg, Netherlands.
9 years of coding experience
2 years of employment as a software developer
Bachelor, Sociology, 7.8, Bachelor, Sociology, 7.8 at Universiteit van TilburgResearch Master, Individual in Social Context - Methodology and Statistics, internship, Research Master, Individual in Social Context - Methodology and Statistics, internship at Tilburg University
Github Skills (4)
row8
methodology4
data-streams3
data-science2
Github contributions (5)
L-Ippel/SEMA
May 2017 - Aug 2018
Contributions:27 commits, 31 pushes, 3 branches in 1 year 2 months
L-Ippel/Methodology
Jul 2016 - May 2017
Contributions:26 commits, 25 pushes, 1 branch in 10 months
data-sciencedata-streamsstreamsmethodologyestimation
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