Alexia Jolicoeur-Martineau researches generative AI, developing models that create images, text, tabular data, and other forms of information. Her work combines statistics and computer science, including diffusion models and methods for improving how neural networks generate data.
Alexia Jolicoeur-Martineau researches generative AI, developing models that create images, text, tabular data, and other forms of information. Her work combines statistics and computer science, including diffusion models and methods for improving how neural networks generate data.
Career
Alexia Jolicoeur-Martineau studied at Université de Montréal (Ph.D. in Computer Science / Artificial Intelligence), Université du Québec à Montréal (UQAM) (Master's degree in Mathematics), and McGill University (Bachelor's degree in Mathematics and Computer Science).
Principal Researcher at Microsoft until PresentResearches artificial intelligence and machine learning, including generative and reasoning models. Previously published research through Microsoft Research Montréal.