I am currently a research scientist at Meta AI (FAIR), an adjunct professor at McGill University, a core industry member of Mila, and a Canada CIFAR AI Chair. The playground of my research has been defined by problems which require inferring full observations from partial observations, building models of the world with the goal to improve impactful downstream applications responsibly. My most recent research explores the potential of conditional visual generative models as world models that can be queried to generate data to train downstream representation learning models. This encompasses improving not only the quality of the generations of conditional visual generation models but also their prompt-consistency and representation diversity. Prior to joining Meta AI/McGill/Mila, I received my Ph.D. from University of Barcelona, where I worked with Dr. Carlo Gatta, and spent two years as post-doctoral researcher at Mila working with Prof. Yoshua Bengio.