Soufiane Hayou
Postdoc, National University of Singapore
Soufiane Hayou obtained his PhD in statistics in 2021 from Oxford where he was advised by Arnaud Doucet and Judith Rousseau. He graduated from Ecole Polytechnique in Paris before joining Oxford. During his PhD, he worked mainly on the theory of randomly initialized infinite-width neural networks on topics including the impact of the hyperparameters (variance of the weights, activation function) and the architecture (fully-connected, convolutional, skip connections) on how the 'geometric' information propagates inside the network. He is currently a Peng Tsu Ann Assistant Professor of mathematics at the National University of Singapore.