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CV
Education
- 2008: Abitur
- 2009-2013: B.Sc. in Computer Science (Freiburg University)
- minor in Political Sciences
- Bachelor Thesis in Robotics
- 2013-2016: M.Sc. in Computer Science (Ulm University)
- minor in Psychology
- Master Thesis in Affective Computing
- 2024: PhD in Machine Learning (Dr. rer. nat.)
- Title: Adaptive Learning Models for Information-Efficient Lifelong Machine Learning
- passed with the highest honours (summa cum laude)
Work experience
- since 12/2022: Senior Data Scientist at the StepStone Group
- Applied Research and Development at the AI Labs
- 12/2016-11/2022: Research Assistant at Ulm University
- Supervisor: Prof. Dr. Dr. Daniel A. Braun
- 05/2016 - 11/2016: Software Engineer at BitTwister IT, Ulm
- Developing IT Infrastructure for Machine Learning applications
Research Interests
- Reinforcement Learning
- Meta-Learning
- Continual Learning
- Self-supervised Learning
Technical Skills
- Tensorflow
- Python
- C/C++
- Matlab
Methodical Skills
- Neural Networks
- Bayesian Hierarchical Modeling
- Variational Methods
- Monte-Carlo Methods
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