Dr Sebastian Cygert
Research interests: trustworthy AI, robustness, continual learning
Dr. Eng. Sebastian Cygert conducts research on reliable and trustworthy machine learning models capable of functioning correctly and adapting to the surrounding world. His research has been published at leading AI conferences such as NeurIPS, ICLR, ECCV, WACV, BMVC, or Interspeech.
He also has extensive commercial experience—he previously worked as a Applied Scientist at Amazon, where he contributed to projects such as the visual perception system for the autonomous robot and speech synthesis for Alexa.
He is a member of the Ellis Society.