Susanne Dandl
Postdoctoral Researcher at University of Zurich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolSusanne Dandl is a statistician with a PhD and nine years of experience bridging statistical research, causal inference, and applied data science in academic and industry settings. Currently a postdoctoral researcher at the University of Zurich, she previously completed a PhD in Statistical Learning and Data Science at LMU Munich and held multiple research and teaching roles that blend methodological development with hands-on software and Python instruction. Her work spans causal methods, predictive modeling, and the practical deployment of analytics—skills honed through internships in content analytics and insurance predictive modeling and by organizing Data Science for Social Good programs. Colleagues know her for translating rigorous theory into reproducible code and for mentoring students in both statistics and object-oriented programming. Based in Zurich, she combines deep quantitative rigor with experience training professionals, making her adept at turning complex statistical problems into actionable solutions.
9 years of coding experience
6 years of employment as a software developer
Ludwig Maximilian University of Munich
Github Skills (32)
preprocessing10
r-package10
interpretable-machine-learning10
r9
dataflow-programming9
ensemble-learning9
post-processing9
classification9
machine-learning9
regression9
bookdown8
fairness-ml8
bias-detection8
mlr8
feature-selection8
Programming languages (5)
Github contributions (5)
dandls/htesim
Feb 2021 - Jan 2023
Contributions:87 commits, 30 pushes in 1 year 11 months
mlr-org/mlr3summary
Apr 2024 - Jan 2026
Model summaries for mlr3
Contributions:2 reviews, 2 PRs, 12 pushes in 1 year 9 months
mlrmlr3rr-packagemachine-learning
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