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My current research interests are at the intersection of machine learning, evolutionary biology and game theory. I work on the emergence of cooperation in multi-agent systems, particularly using reiforcement learning agents.

The techniques are similar to the ones used in traditional evolutionary theory, where we take interesting evolutionary patterns observed in nature and develop models to understand their plausible underlying mechanisms.

The advent of computing power and reiforcement learning agents have opened up a huge swath of fertile research ground that expands on both numerical and analytical modeling.

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