People

Tim Cooijmans

Research Scientist

Tim Cooijmans is a research scientist at Basis. His research focuses on the dynamics and stability of gradient-based learning, particularly in challenging systems such as recurrent and attentive neural networks and multi-agent reinforcement learning. He holds a PhD from Mila. Tim has previously worked on radiation simulation tooling at CERN, on music generation at Google Brain’s Magenta and on approximate automatic differentiation at DeepMind.