Tim Mensinger
AI Researcher at appliedAI Institute for Europe gGmbH
Bonn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolTim Mensinger is an AI researcher and fifth-year PhD candidate in economics at the University of Bonn with eight years of experience blending software engineering and quantitative research. He specializes in econometrics, structural microeconometrics, causal inference, and applied statistics, and has translated that expertise into research and tooling showcased on his website and GitHub. Tim combines rigorous academic training with practical implementation—building software to test and deploy empirical methods—most recently joining appliedAI Institute for Europe while completing his doctoral work. Based in Bonn, he has moved between research fellowships and doctoral research roles, demonstrating a consistent focus on making advanced econometric methods usable in real-world analyses.
8 years of coding experience
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at The University of Bonn
German, English
Github Skills (81)
diagnostic-tool10
python10
parallel-computing10
numerical-optimization10
econometrics10
conda10
causal-inference10
minimize10
nlopt10
conda-forge9
simulator9
power-systems9
economics9
chat9
simulation9
Programming languages (6)
Github contributions (5)
timmens/causal-forest
Jan 2020 - Jun 2020
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
Contributions:101 commits, 94 pushes, 5 branches in 4 months
causal-inferenceeconometricsmachine-learning
timmens/bayesian-hierarchical-models
Nov 2019 - Feb 2020
Research Module in Econometrics and Statistics at Univ. Bonn (2019/2020) on Bayesian Hierarchical Models.
Contributions:92 commits, 2 PRs, 67 pushes in 2 months
bayesianeconometricsstatistics
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