I joined the lab in October 2020 as a Postdoctoral Research Fellow. Prior to this I was a contractor at NASA Ames Research Center's Intelligent Robotics Group. There I worked on automated flood mapping, life detection, and automated exploration for planetary robotics. I earned my Ph.D in robotics in 2018 from Carnegie Mellon University, M.Sc. in Neuroscience from Oxford in 2011, M.Sc. Robotics from CMU in 2010, and B.Eng from Memorial University in 2005.
Publications
Journal Articles
- (2023) Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms. Brain Sciences, 13(2):245. Abstract DOI
- (2021) Fractional Binding in Vector Symbolic Representations for Efficient Mutual Information Exploration. ICRA Workshop: Towards Curious Robots: Modern Approaches for Intrinsically-Motivated Intelligent Behavior. Abstract PDF External link
Conference and Workshop Papers
- (2022) Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. In 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. Abstract PDF External link
- (2022) Continuous then discrete: A recommendation for building robotic brains. In Aleksandra Faust, David Hsu, and Gerhard Neumann, editors, Proceedings of the 5th Conference on Robot Learning, volume 164 of Proceedings of Machine Learning Research, 1758–1763. PMLR. Abstract PDF External link
Technical Reports and Preprints
- (2022) Learned Legendre Predictor: Learning with Compressed Representaitons for Efficient Online Multistep Prediction. Technical Report, Centre for Theoretical Neuroscience. Abstract PDF External link