I'm interested in using machine-learning methods for decoding of brain states and utilizing this information to adapt robots.
Humans have many cognitive abilities that are very hard to replicate
by autonomous systems. Due to the possibility of low latencies and
more objective as well as graded feedback, brain signals offer
distinct advantages despite their difficult signal-to-noise ratio.
Hence, brain-machine interfaces can be used to adapt a machine's behavior from the perspective as the ``human as a sensor''.
Currently, I work on human perception of hazardousness in traffic scenes and how the perceived hazard level can be decoded from EEG data.
- 06/2015 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard and the Brain State Decoding Lab of Dr. Michael Tangermann as a doctoral research assistant
- 08/2013 - 02/2015: Co-founder/CTO of PriceNow, working on optimization of personalized product recommendations in e-commerce
- 10/2011 - 09/2013: Master of Science with distinction, Computer Science with minor in Operations Research, Karlsruhe Institute of Technology
- 10/2008 - 09/2011: Bachelor of Science with distinction, Computer Science with minor in Operations Research, Karlsruhe Institute of Technology