Johan Obando-Ceron
Scholar

Johan Obando-Ceron

Google Scholar ID: KViAb3EAAAAJ
Mila, University of Montreal
Deep LearningReinforcement LearningMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
625
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Helping to organize the Latin American Meeting in Artificial Intelligence (KHIPU 2025).
Research Experience
  • Student Researcher at Google Brain and Google DeepMind, working on Deep RL.
Education
  • DPhil/PhD: Mila and Université de Montréal, supervised by Aaron Courville and Pablo Samuel Castro; Master's Degrees: Machine Learning from University of Montreal and Engineering Science (Robotics) from Universidad Autónoma de Occidente.
Background
  • Main area of academic interest: improving sample efficiency in reinforcement learning, often with the goal of making RL methods suitable for real-world problems. Broadly interested in machine learning and neural networks, including areas such as general reasoning, world models, and large-scale language/vision models.
Miscellany
  • In spare time, loves playing fútbol/swimming and drawing/dancing.