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Welcome to my personal space.

I am a software engineer and a scientist. I develop algorithms and models for complex problem solving. Currently I work for DeepMind in the Multi-Agent Research team understanding how to get artificial learning agents to cooperate in social dilemmas.

My key expertise is in distributed systems, machine learning, natural computation, theory of computation, game theory, and evolutionary biology.

I have an undergraduate degree in mathematics, a masters in computer science and industrial mathematics and a doctorate in computer science. In my postdoctoral research I studied swarm robotics, social evolution, and genetics.

My research interests span several disciplines including biology, computer science and mathematics. I am particularly interested in using machine learning and mathematical techniques to study interesting evolutionary phenomena like social behaviors, imprinting and speciation. I have also worked on theoretical and applied aspects of computer science, like the No-Free-Lunch Theorems, swarm robotics, numerical integration techniques and computer vision.

About Me

Edgar Edgar A. Duéñez Guzmán is a Senior Research Engineer at DeepMind. Previously he was at Google, where he developed the first machine learning system to select the index for Image Search. During his academic career, he was a Postdoctoral fellow at the Department of Biology at KU Leuven working with Tom Wenseleers in social evolution in microbes;
and a Research Associate at the Department of Organismic and Evolutionary Biology at Harvard University working with David Haig in social evolution and imprinting.
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Contact Info

E-mail: eaduenez {at} gmail {dot} com