My name is Danilo Jimenez Rezende. I am a Senior Staff Research Scientist and Lead of the Generative Models & Inference group at DeepMind – I build models and algorithms for decision making and hard science problems.

I hold a joint BA in Physics and MSc in Theoretical Physics from Ecole Polytechnique (Palaiseau – France) and from the Institute of Theoretical Physics (SP – Brazil) and a Ph.D. in Computational Neuroscience at Ecole Polytechnique Federale de Lausanne, EPFL (Lausanne – Switzerland).

My research focus on scalable inference methods and generative models of complex data such as images, video, 3D scenes, molecules and quantum fields in a lattice. My recent work includes flow-based models for free-energy estimation in molecular systems; Gauge-equivariant flows for lattice-QCD and generative models of neural radiance fields.

All opinions expressed in this domain are my own and have no relation to my employer.

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