Timothy P. Lillicrap is a Canadian neuroscientist and AI researcher, adjunct professor at University College London, and staff research scientist at Google DeepMind, where he has been involved in the AlphaGo and AlphaZero projects mastering the games of Go, Chess and Shogi.
He has developed algorithms and approaches for exploiting deep neural networks in the context of reinforcement learning, and new recurrent memory architectures for one-shot learning.
[1] His numerous contributions to the field have earned him a number of honors, including the Governor General's Academic Medal, an NSERC Fellowship, the Centre for Neuroscience Studies Award for Excellence, and numerous European Research Council grants.
Following a series of promotions, he eventually became a DeepMind staff research scientist in 2016, a position he still holds as of 2021.
[2][3] In 2016, Lillicrap accepted an adjunct professorship at University College London.