Published in numerous renowned venues, including Nature Machine Intelligence, Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), and International Conference on Intelligent Robots and Systems (IROS). Principal applicant and investigator of research projects worth more than €1.5 million in total funding volume.
Research Experience
Currently, Chief Engineer at the Institute for Data Science Foundations at Hamburg University of Technology, responsible for the cognitive robotics lab and involved in teaching machine learning. Coordinator and principal investigator of DFG-funded research projects such as MoReSpace and LeCAREbot. Previously, a postdoctoral research associate at the Knowledge Technology Institute at the University of Hamburg, working on data-driven methods for neuro-semantic systems, data science, machine learning, and cognitive robotics. Also, a postdoctoral fellow at the International Computer Science Institute (ICSI) at the University of California, Berkeley, focusing on human-robot interaction using neurocognitively inspired methods for natural language understanding.
Education
Ph.D. in Computer Science from the University of Bremen, Germany, in 2014. Research focused on logical formalizations of symbolic reasoning, epistemic action theory, and commonsense reasoning in assistive service robotics and smart environments.
Background
Research interests include computational cognitive models, representation learning, and reinforcement learning. Specializes in neuro-semantics, artificial intelligence, and cognition.