Resume
Academic Achievements
- Published multiple conference papers on AI and statistical modeling, including AAAI, xAI 2024, and AISTATS
- Selected paper: 'Conditional feature importance with generative modeling using adversarial random forests' (AAAI 2025)
- Selected paper: 'CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests' (xAI 2024)
- Selected paper: 'Adversarial random forests for density estimation and generative modeling' (AISTATS 2023)
- ORCiD: 0009-0000-6408-2840
Research Experience
- Since 02/2022: Doctoral Research Fellow, Leibniz BIPS
- 03/2017–01/2022: Consultant, Accenture GmbH
- 06/2016–09/2016: Intern, Accenture GmbH
- 11/2015–03/2016: Intern, DAIMLER AG
- 04/2013–07/2013: Student Assistant, Department of Mathematics, Julius-Maximilians-Universität Würzburg
Education
- Since 2022: PhD student in Machine Learning, Faculty of Mathematics and Computer Science, Universität Bremen
- 2013–2016: M.Sc. in Business Mathematics, Julius-Maximilians-Universität Würzburg
- 2011–2013: B.Sc. in Mathematics, Julius-Maximilians-Universität Würzburg
- 2014–2015: Exchange semester at Università degli Studi di Padova
- 2023: 5-month research stay at Department of Human Health and Nutritional Sciences, University of Guelph