London, United Kingdom
Research Scientist at Google DeepMind
Research
Education
Ecole polytechnique fédérale de Lausanne 2009 — 2012
PhD, Computational and cognitive neuroscience
Université de Provence (Aix-Marseille I) 2007 — 2010
PhD (stopped), Theoretical Physics
Ecole polytechnique 2005 — 2007
MSc, Theoretical Physics
Instituto de Fïsica Teórica 2005 — 2007
MSc, Theoretical Physics
Ecole polytechnique 2003 — 2005
BSc, Ingenieur Polytechnicien, Double Majored in Physics and Mathematics
Universidade de São Paulo 2000 — 2002
BSc, Physics
Experience
Google DeepMind February 2014 - Present
DeepMind Technologies September 2012 - February 2014
DeepMind Technologies April 2012 - September 2012
Ecole Polytechnique Fédérale de Lausanne (EPFL) February 2009 - September 2012
Ecole Polytechnique Fédérale de Lausanne (EPFL) February 2012 - June 2012
Ecole Polytechnique Fédérale de Lausanne (EPFL) February 2011 - June 2011
Skills
Bayesian inference, Computer Vision, Pattern Recognition, Monte Carlo Simulation, Numerical Analysis, Mathematica, Python, Scientific Computing, Algorithm Design, Simulations, Image Processing, Computer Science, C, R, Lua, Neuroscience, Science, deep learning, Statistical Modeling, Stochastic Calculus, Numerical Simulation, Computational..., Differential Geometry, Signal Processing, Data Mining, Scientific Writing, Machine Learning, Applied Mathematics, General Relativity, Research, Hamiltonian Dynamics, Neural Networks, Maple, Artificial Intelligence, Unsupervised Learning, Probabilistic Models, Graphical Models, Data Analysis, Theoretical Physics, C++, Statistics, Physics, Programming, Algorithms, LaTeX, Mathematical Modeling, Modeling, Optimization