Dr. Moriconi

Today, Riccardo Moriconi successfully defended his PhD and passed his viva. Riccardo’s PhD research looked at high-dimensional optimization problems and how to address them. Specifically, he exploited a) structural assumptions via projections and quantile regression, b) latent embeddings of high-dimensional parameter spaces. Riccardo’s examiners were Aldo Faisal and Carl Henrik Ek.

Congratulations, Dr. Moriconi, and good luck on your way ahead!

Riccardo’s next stop is at Artificialy in Lugano.

Marc Deisenroth
Marc Deisenroth
Google DeepMind Chair of Machine Learning and Artificial Intelligence