Johan Obando-Ceron

I am 2nd-year DPhil/PhD student at Mila and Université de Montréal supervised by Aaron Courville and Pablo Samuel Castro. My main area of academic interest is improving sample efficiency in reinforcement learning, often with the goal of making RL methods suitable for real-world problems. I am also broadly interested in machine learning and neural networks, including areas such as general reasoning, world models and large-scale language/vision models.

Previously I was an Student Researcher at Google Brain and Google DeepMind where I worked on Deep RL. I have Masters Degrees in Machine Learning and Engineering Science (Robotics) from the University of Montreal and Universidad Autónoma de Occidente, respectively. In my spare time, I love playing fútbol/swimming and drawing/dancing.