Sebastian Gruber is a doctoral candidate in bioinformatics. His research mostly revolves around Deep Learning topics with a strong theoretical background leading to trustworthier predictions of AI systems deployed in the real world. During his studies of Statistics (M.Sc. and B.Sc.) at LMU Munich, he joined the Machine Intelligence Research Group at Siemens AG as a working student where he co-authored a scientific paper regarding trustworthy AI. This paper was later published at the AI conference CVPR 2021. The work at Siemens was finalised with a master thesis combining Meta-Learning with Knowledge Distillation, where he developed an algorithm extracting knowledge of multiple models such a new task can be learned efficiently.

Interests
  • Calibration
  • Out-of-domain Generalization
  • Hyperparameter Optimization
Education
  • MSc in Statistics, 2021

    Ludwig Maximilians Universität

  • BSc in Statistics, 2018

    Ludwig Maximilians Universität

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