Lennard Maßmann

PhD Candidate

About

I am pursuing my PhD under supervision of Prof. Dr. Christoph Hanck at the Chair of Econometrics, University of Duisburg-Essen. In my research, I am interested in developing econometric methods at the intersection of statistical learning and causal inference to quantify treatment effect heterogeneity and improve targeted policy learning. Moreover, I am associated with the Ruhr Graduate School in Economics (RGS Econ) and the Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R). Additionally, I organize and teach workshops as a certified Carpentries Instructor.

Working Paper
(2026). Estimating PATE under positivity violations: SBART+SPL for high-dimensional covariates. CLeaR 2026, forthcoming in the Proceedings of Machine Learning Research 323.
(2025). Shrinkage Bayesian Causal Forest with Instrumental Variable. Submitted (under review).
Drafts
(2025). Median-based splitting rules for the causal tree.
Recent Presentations
  • 2026
    • CausalML & Panel Data at PIK Campus (Berlin, DE)
    • 5th CLeaR Conference (Cambridge, MA, US)
    • Economic DS Group at UniDistance (Brig, CH)
    • 19th RGS Doctoral Conference (Bochum, DE)
  • 2025
    • MEG Conference (Urbana, IL, US)
    • Statistical Week (Wiesbaden, DE)
    • Bristol ESG Conference (Bristol, UK)
    • European Causal Inference Meeting (Ghent, BE)
Teaching
  • Lectures & Tutorials
    • Introductory Econometrics — UDE, 2025/2026
    • Methods in Econometrics — UDE, 2024/2025
    • Descriptive Statistics — UDE, 2024/2025
    • Financial Econometrics - UDE, 2024
    • Introductory Econometrics — UDE, 2023/2024
    • Causal Analysis — UDE, 2023
  • Workshops
    • Programming in Python — UDE, 2025
    • LaTeX for Publishing — RWTH Aachen & UDE, 2025
    • Data Competence College — RWTH Aachen, 2025