My name is Danilo Jimenez Rezende and I’m the Director and Lead of the Generative Models & Inference group at DeepMind. In my role, I develop algorithms for decision making and generative modelling to tackle complex scientific problems.
My research focuses on scalable inference methods and generative models for data such as images, video, 3D scenes, medical images, molecules and quantum fields. Recently, I’ve been working on flow-based models for free-energy estimation in molecular systems, gauge-equivariant flows for lattice-QCD, and generative models of neural radiance fields.
I have a BA in Physics and MSc in Theoretical Physics from Ecole Polytechnique (France) and the Institute of Theoretical Physics (Brazil) and a PhD in Computational Neuroscience from Ecole Polytechnique Federale de Lausanne (Switzerland).
All opinions expressed in this domain are my own and have no relation to my employer.