M.Sc. Philip Buczak
Phone: +49 231 755 4466
LogistikCampus, Room A3.07
Joseph-von-Fraunhofer-Strasse 2-4
44227 Dortmund, Germany
- Machine Learning
- Hyperparameter Optimization
- Text Data 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. https://doi.org/10.3390/e25030521
- 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. https://doi.org/10.1002/jocb.559 (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. https://doi.org/10.1037/met0000461
- 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
Studies:
- 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.