To content
Department of Statistics
Research assistant

M.Sc. Philip Buczak


Send e-mail

Phone: +49 231 755 4466

LogistikCampus, Room A3.07
Joseph-von-Fraunhofer-Strasse 2-4
44227 Dortmund, Germany


Google Scholar

© Julian Welz​/​privat
  • Machine Learning
  • Prediction for Ordinal Response Data
  • Hyperparameter Optimization
  • Text Data Analysis
  • Buczak, P. (2024). fabOF: A Novel Tree Ensemble Method for Ordinal Prediction. OSF Preprint.
  • Buczak, P., Horn, D., & Pauly, M. (2024). Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach. OSF Preprint.
  • Buczak, P., Groll, A., Pauly, M., Rehof, J. & Horn, D. (2024). Using sequential statistical tests for efficient hyperparameter tuning. AStA Advances in Statistical Analysis.
  • Buczak, P., Chen, J.-J., & Pauly, M. (2023). Analyzing the effect of imputation on classification performance under MCAR and MAR missing mechanisms. Entropy, 25(3), 521.
  • Buczak, P., Huang, H., Forthmann, B. and Doebler, P. (2022). The Machines Take Over: A Comparison of Various Supervised Learning Approaches for Automated Scoring of Divergent Thinking Tasks. Journal of Creative Behavior. (shared first authorship).
  • Doebler, P., Doebler, A., Buczak, P., & Groll, A. (2022). Interactions of scores derived from two groups of variables: Alternating lasso regularization avoids overfitting and finds interpretable scores. Psychological Methods. Advance online publication.
  • Six-Sigma-Methode (Summer 2023)
  • Introduction to Causal Inference (Summer 2022)
  • Six-Sigma-Methode (Summer 2022)
  • Statistische Verfahren (Winter 2021/22)
  • Seminar "Kausale Inferenz" (Summer 2021)
  • Six-Sigma-Methode (Summer 2021)
  • Fallstudien II (Winter 2020/21)

Research Experience:

  • Since Nov. 2020: Research Assistant at the Department of Statistics
  • Jan. 2016 - Nov. 2020: Student Assistant at the Department of Statistics


  • M.Sc. (Statistics): TU Dortmund University, 2020. Master's thesis: Einsatz sequentieller Verfahren im Hyperparameter-Tuning.
  • B.Sc. (Statistics): TU Dortmund University, 2019. Bachelor thesis: Modellierung und Vorhersage von Fußballbundesligaspielen mittels Random Forest.
  • B.A. (Social Sciences): Heinrich Heine University Düsseldorf, 2015.