Dr. Andrea Bommert
Phone: +49 231 755 3128
Mathematics, Room 722
Vogelpothsweg 87
44227 Dortmund
- Stable Variable Selection
- Stability Measures
- Variable Selection
- Filter Methods for Variable Selection
- Dataset Similarity Measures
- Prediction Models
- Classification
- Clustering
- Neutral Comparison Studies
- High-dimensional Data
- Bayesian Optimization
- Optimization of Stochastic Target Functions
- Multi-Objective Optimization
- Applications in Logistics
- Statistische Verfahren (Winter 2024/25, Winter 2023/24, Winter 2022/23)
- Einführungskurs in SAS (Winter 2024/25, Winter 2023/24, Winter 2022/23)
- Einführungskurs in SQL und APIs (Winter 2024/25, Winter 2023/24, Winter 2022/23)
- Empirische Analysemethoden (Summer 2024, Summer 2023, Summer 2022)
- Klinische Studien (Summer 2024)
- Einführung in das statistische Lernen (Summer 2023)
Research Experience
- Since Oct. 2016 (permanent): Research Assistant at the Department of Statistics
- Oct. 2013 - Sep. 2016: Student Assistant at the Department of Statistics
Studies
- Dr. rer. nat (Statistics): TU Dortmund University, 2021. Dissertation: Integration of Feature Selection Stability in Model Fitting
- M. Sc. (Statistics): TU Dortmund University, 2016. Master's thesis: Stabile Variablenselektion in der Klassifikation
- B. Sc. (Data Analysis and Data Management): TU Dortmund University, 2014. Bachelor's thesis: Robuste Schätzung des Parametervektors bei der linearen Quantilsregression