Bio
Lorenz Wolf is a second-year PhD student on the Foundational AI CDT at the Centre for Artificial Intelligence at UCL. In his current research, he focuses on efficient and robust Reinforcement Learning (from human feedback), and his general interests span from Statistical Machine Learning and Generative Modelling to Reinforcement Learning and Multi-Agent systems. In the summer of 2023 and before starting the PhD in 2022, Lorenz joined Apple for two research internships, where he worked on self-supervised learning and Differential Privacy. He also has experience working at a startup developing Deep Generative models for music (an AI assistant for composers). In 2021, he graduated with an MSc in Statistics at Imperial College London, where he worked on Variational Autoencoders on Hilbert Spaces to generate functional data. Lorenz obtained his undergraduate in Mathematics also at Imperial.
Research interests
At the Turing, Lorenz will continue to work on robust Reinforcement Learning, in particular the intersection of generalized Bayesian inference and Bayesian Reinforcement Learning.