Our paper Universality laws for Gaussian mixtures in generalized linear modelss in collaboration with Yatin Dandi, Ludovic Stephan, Florent Krzakala and Lenka Zdeborová has been accepted for a poster at the Conference on Neural Information Processing Systems (NeurIPS). I will be also presenting our recent work Escaping mediocrity: how two-layer networks learn hard generalized linear models as an oral contribution to the Optimization for Machine Learning workshop. Come discuss with us in New Orleans!