About me

I’m an assistant professor at the Technical University of Denmark (DTU), where I’m working on machine learning models for understanding urban mobility and the behaviour of crowds. Previously, I was a H.C. Ørsted / Marie-Skłodowska Curie Actions (COFUND) postdoctoral fellow, also at DTU, working on spatio-temporal models of mobility demand with emphasis on modelling uncertainty and the effect of special events. I hold a PhD from University of Coimbra (Portugal), during which I worked on probabilistic models for learning from crowdsourced data.

My research interests include:

  • Machine Learning and Pattern Recognition
  • Crowdsourcing and Learning from Crowds
  • Probabilistic Graphical Models and Bayesian inference
  • Intelligent Transportation Systems and Urban Mobility

E-mail: rodr [at] dtu.dk – Google ScholarGitHub

Recent publications: