Miguel González Duque has been a PhD Student at ITU since Oct. 2019, working under the supervision of Sebastian Risi. His project focuses on applications of Bayesian methods and Procedural Content Generation to Dynamic Difficulty Adjustment, with the aim of creating serious games for rehabilitation. He has previously worked on player modelling and Imitation Learning in Real-Time Strategy games.
Miguel has a B.Sc and a M.Sc. in Mathematics, from the Universidad Nacional de Colombia.
email: migd (at) itu (dot) dk
personal blog: miguelgondu.com