CV

Scientific Researcher / PhD Student

• Researching AutoML for RL to improve applicability, scalability and robustness of RL
• Supervised by Prof. Holger Hoos

Student Assistant

• Working on large-scale foundational models with self-supervised algorithms
  • performed transformer pre-trainings using multilingual speech data
  • explored different methods to effectively fine-tune pre-trained models to low-resource languages
• Actively extended the lab's software environment for automatic speech recognition and machine translation

Student Assistant

• Working on sentence embedding learning for automatic machine translation systems
• Actively extended the lab's software environment for automatic speech recognition and machine translation

MSc. Computer Science

• Final Grade 1.1 (with distinction), GPA 3.9
• Minor in Mathematics
• Thesis "Unsupervised Feature Learning for Multilingual Speech Recognition"
  • Supervised by Prof. Hermann Ney and Prof. Ralf Schlueter
  • Grade 1.0 - best possible grade

BSc. Computer Science

• Final Grade 1.4 (very good), GPA 3.6
• Minor in Mathematics
• Thesis "Modeling Generative Adversarial Networks using Component and Connector Architectures"
  • Supervised by Prof. Dr. Rumpe
  • Grade 1.3 - second-best possible grade

• Receiving the Porsche and Deutschland Stipendium scholarship

• First prize in the category Mathematics at the Dr. Hand-Riegel Fachpreise competition awarded with 500$
• Among the 5% best participants in the Bundeswettbewerb Informatik, a Germany wide Computer Science competition