Alexia Jolicoeur-Martineau

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Alexia is a research scientist in statistics and artificial intelligence (AI). Her main research interests are Generative Adversarial Networks (GANs), deep learning, and large-scale gene-by-environment models. Her academic and professional background is in statistics. She started pursuing the study of AI in 2017 on her own. In 2017, she released the Meow Generator, a model that generates pictures of cats 🐈. In 2018, she wrote two sole-author papers on GANs, one of which has become highly influential (See “The relativistic discriminator: a key element missing from standard GAN”). In 2019, she wrote one sole-author papers on GANs, entered the highly competitive PhD program at MILA, and received the Borealis AI Fellowship. Her ultimate goal is to push GANs beyond their current capabilities so that one day we can generate media content (such as movies, music, video games, and comics) through an artificial intelligence.

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