PhD Fellow, Center for Computer Games Research.
Miguel started his PhD at the Center for Computer Games Research in Oct. 2019. He has worked on Artificial Intelligence and Machine Learning for game playing, and more specifically player modeling and decision-making agents in StarCraft 2. His PhD project tackles dynamic difficulty adjustment for brain injury rehabilitation games using novel ML algorithms. He is a mathematician by training (B.Sc and M.Sc in Mathematics from the Universidad Nacional de Colombia).
Areas of competence
Imitation Learning, Deep Learning, Player Modeling, Real-Time Strategy Games, Machine Learning and AI.
Current research interests
Bayesian methods, Games for Rehabilitation, Reinforcement Learning, Adversarial Learning, Generative models, Procedural Content Generation, Computer Art and AI Ethics.