Mayalen Etcheverry

I am a third year PhD student in Machine Learning under the supervision of Pierre-Yves Oudeyer and Clément Moulin-Frier at the FLOWERS team at Inria, Bordeaux; and in collaboration with the Poietis biotech company. Currently, I am doing an academic exchange at the Levin Lab at Tufts University, co-supervised by Michael Levin.

My research focuses on developing "curious" AI agents that can autonomously discover and learn a diversity of structures and skills in their environments. In particular, I am interested in applying those computational models to assist humans in mapping and navigating the space of possible outcomes of complex systems (artificial, physico-chemical and biological ones) and help solving challenging problems in science.

Previously, I have been at University College of London where I completed my Master of Science (MSc) in computer vision and at Télécom Paristech where I did my Master of Engineering (MEng). I also spent a year as an AI research intern at Siemens Healthineers, Princeton N.J., working on deep learning and reinforcement learning algorithms for healthcare.



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