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Department of Statistics
Research Assistant

M.Sc. Lena Schmid


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Phone: +49 231 755 90373

LogistikCampus, Room A3.06
Joseph-von-Fraunhofer-Strasse 2-4
44227 Dortmund

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  • Machine Learning (Theory and Application)
  • Time Series Analysis
  • Mathematical Statistics
  • Kirchhof, M., Schmid, L., Reining, C., Ten Hompel, M., & Pauly, M. (2021a). Chances of interpretable transfer learning for human activity recognition in warehousing. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational logistics (Publisher’s Version, 1st ed., Vol. 13004, pp. 163–177). Springer.
  • Kirchhof, M., Schmid, L., Reining, C., Ten Hompel, M., & Pauly, M. (2021b). pRSL: Interpretable multi-label stacking by learning probabilistic rules. In C. de Campos & M. H. Maathuis (Eds.), 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) (Publisher’s Version, Vol. 161, pp. 461–470). Curran Assoc. Inc.
  •     Wahrscheinlichkeitstheorie (Winter 2020/21)
  •     Six-Sigma-Methode (Summer 2020)
  •     Statistische Verfahren (Winter 2019/20)
  •     Fallstudien I (Winter 2019/20)
  •     Seminar "Deep Learning in Logistics" (Summer 2019)
  •     Statistische Verfahren im Qualitätsmanagement (Summer 2019)

Research Experience

  • Since Apr. 2019: Research Assistant at the Department of Statistics


  • M.Sc. (Mathematics): Ulm University, 2018. Master's thesis: Consistency of Random Forests with Application to Facebook Data
  • B.Sc. (Mathematics): Ulm University, 2016. Bachelor's thesis: Modelling Backbones of Shortest Path Trees in Iterated Random Tessellations.