Raymond Chua

I am a PhD student supervised by Doina Precup and Blake Richards. My main research interest is on understanding how representations, episodic memories and various mechanisms such as predictive coding and replay can motivate efficient hierarchical reinforcement learning and planning. I work primarily on machine learning problems using insights from the neuroscience community.

I co-organise the Neural-AI Study Group at Mila where we meet on Fridays to discuss research papers in the domain of neuroscience and AI. I am also a member of the student affairs committee of Unifying Neuroscience and Artificial Intelligence – Québec (UNIQUE), where we organise events to foster collaborations between the neuroscience and AI community in Quebec, Canada.

Together with Feryal Behbahani, Sara Zannone, Claudia Clopath, Rui Ponte Costa, Blake Richards and Doina Precup, we organised a NeurIPS workshop on Biological and Artificial Reinforcement Learning in 2019. We are also excited to organise this workshop again at NeurIPS 2020, with Ida Momennjad joining our organization team.

Before coming to McGill and Mila, I spent several years to pursue my Masters at the Technical University of Munich, Germany, including short research stints with Walter Senn at University of Bern and Rui Ponte Costa at University of Bristol.