My research is motivated by a general interest in building more flexible, adaptive computational systems. This has led to work in a range of different areas, including computational neuroscience, (hierarchical) reinforcement learning, and deep learning. I work to build hybrid systems that combine these (and other) approaches, in order to best leverage the strengths of each method.

Current work

I am currently a Senior Research Scientist at Applied Brain Research, a company I co-founded with other members of the Computational Neuroscience Research Group in 2014.
My research focuses on the integration of deep learning and neuromorphic methods, where I apply insights gained from basic research in computer/neuro science to develop new applications, both in hardware and software.