Hi, I’m Dr. rer. nat. Dipl.-Inform. Stefan Heinrich, a scholar and tinkerer from Germany, currently appointed as researcher with the Cognitive Developmental Robotics Lab of the International Research Center for Neurointelligence (IRCN) at the University of Tokyo. These are what I consider my key skills and experiences in a nutshell:
- Extensive training in scientific research in the fields Computer Science, Cognitive Psychology, and Computational Neuroscience with Master and PhD degrees
- Ten years academic research in Computational Modeling, Natural Language Processing and, Machine Learning - current focus on Timescale and Probabilistic Neural Networks
- Eight years of teaching on bachelor and master level on Artificial Intelligence, Neural Networks, Data Mining, and Human-Robot Interaction as well as more than 20 individual PhD, MSc, and BSc thesis supervisions
- Coordination and team building of research and student teams on short- to mid-term projects
- Resourceful, creative, goal-oriented, organised, independent as well as team-worker, and team-builder
Research Interests and Background
My research interest is located in between artificial intelligence, cognitive psychology, and computational neuroscience. Here, I aim to explore the computational principles in the brain to foster our fundamental understanding of the brain’s mechanisms but also to exploit them in developing intelligent systems. In particular, I look into the processes and mechanisms in the brain that form representations in multi-modal integration and in temporal composition as well as decomposition. As a central approach I model artificial neural networks, specifically continuous time recurrent neural networks (CTRNNs) and convolution neural networks (CNNs) on tasks in cognitive development, natural language processing, and machine learning. A specific current focus is on dynamic timescales mechanisms in networks as well as on variational and approximate Bayesian learning schemes.