Tom Schaul

Senior Staff Research Scientist @Google DeepMind

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2019 — Present

Senior Staff Research Scientist @Google DeepMind

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EDUCATION

2000 — 2005

EPFL

MSc, Computer Science

2004 — 2005

Columbia University

MSc, Computer Science

1998 — 2000

Lycée Classique Diekirch

Baccalaureate, Math section

2002 — 2003

University of Waterloo

Computer Science

2007 — 2011

Technical University of Munich

Dr. rer. nat., Computer Science

SKILLS

PythonLatexArtificial IntelligenceImage ProcessingMachine LearningAlgorithmsNeural NetworksRoboticsPattern RecognitionStochastic OptimizationReinforcement LearningEvolutionary AlgorithmsDistributed SystemsComputer ScienceProgrammingOptimizationSoftware EngineeringArtificial Neural NetworksJavaC++Mathematical ModelingComputer VisionData MiningEvolutionary Computation

ABOUT TOM SCHAUL

My research interests include (modular) reinforcement learning, stochastic (black-box) optimization and (deep and/or recurrent) neural networks. I use these techniques in application domains ranging from computer vision and neural decoding to games and robotics.I grew up in Luxembourg and studied computer science in Switzerland (with exchanges at Waterloo and Columbia), where I obtained an MSc from the EPFL in 2005. I hold a PhD from TU Munich (2011), which I did under the supervision of Jürgen Schmidhuber at the Swiss AI Lab IDSIA. I did a two-year postdoc with Yann LeCun at the Courant Institute of NYU, before continuing my research at DeepMind Technologies in London.Specialties: Artificial Intelligence, machine learning, modular/hierarchical reinforcement learning, black-box optimization, meta-learning,(recurrent) neural networks, artificial curiosity.

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Tom Schaul — Senior Staff Research Scientist at Google DeepMind in London, GB | Unifers