Experience
Education
Bio
interests include:

Data efficient deep learning (e.g., Memory-based Parameter Adaptation, Episodic Control, Matching Networks).

Representing and using uncertainty in deep neural networks (e.g., Noisy Networks, Bootstrapped DQN, Bayes by Backprop).

Neuroscience-inspired learning (e.g., Artificial grid cells, Learning to Reinforcement Learn).