CV

Education

Ph.D in Robust Machine Learning at Friedrich-Alexander University Erlangen-Nürnberg, 2023
- Supervised by Prof. Dr. Björn Eskofier
M.Sc. in Medical Engineering at Friedrich-Alexander University Erlangen-Nürnberg, 2019
B.Sc. in Medical Engineering at Friedrich-Alexander University Erlangen-Nürnberg, 2017

2023-today: Postdoc
- Friedrich-Alexander University Erlangen-Nürnberg
- Data-efficient robust learning
- Supervisor: Prof. Dr. Björn Eskofier
2022-today: Deep Learning Engineer
- Robert Bosch GmbH
- Working on robust machine learning for autonomous driving
2022-2023 Internship at the Mila, Quebec AI Institute
- Supervisor: Prof. Dr. Doina Precup, Co-supervised by Prof. Dr. Yoshua Bengio
- Partially conducted online due to the pandemic
2022: Representative of the academic staff
- Friedrich-Alexander University within the department Artificial Intelligence in Biomedical Engineering
2019-2021: Researcher & PhD Candidate
- Conducting research on uncertainty and robustness in neural networks with a particular focus on covariate shifts and adversarial examples
- Supervisor: Prof. Björn Eskofier

2023 Robustness Vulnerabilities in Machine Learning, Mila Quebec AI Institue, Gidel lab
2022: Detection, Quantification, and Mitigation of Robustness Vulnerabilities in Artificial Neural Networks, ADA Lovelace Center for Analytics, Data and Applications - Fraunhofer IIS
2021: Introduction to Adversarial Robustness for Deep Learning. Mathematics of Deep Learning Seminar, Friedrich-Alexander University Erlangen-Nürnberg
2020: Women in Engineering, Girls`Day at the technical faculty of the Friedrich-Alexander University Erlangen-Nürnberg

2022: ICML Participation Grant
2022: IFI - International Research Stays for Computer Scientists, granted by DAAD for conducting a research project at Mila, the Quebec Artificial Intelligence (AI) Institute
2011: Computer science program for gifted students by the state of Bavaria

I have reviewed manuscripts for the following Conferences and Journals: ICML, AAAI, IJCAI, ECML