Filipe Rodrigues
Associate Professor
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolFilipe Rodrigues is an Associate Professor at the Technical University of Denmark with a decade of experience at the intersection of machine learning, probabilistic modeling, and urban mobility. He builds spatio-temporal and Bayesian models to understand and optimize human behaviour and transportation systems, with particular expertise in modeling uncertainty and the impacts of special events. His PhD from the University of Coimbra (summa cum laude) focused on probabilistic approaches for learning from crowdsourced data, a thread that runs through his work on crowdsourcing, graphical models, and intelligent transportation systems. Before joining DTU faculty he held competitive postdoctoral fellowships and visiting positions at MIT and the Singapore-MIT Alliance, reflecting a strong international research footprint. Known for bridging rigorous Bayesian methods with practical mobility applications, he often combines theoretical development with real-world urban datasets to inform policy and system design.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Approved with distinction and honors (Summa Cum Laude), Doctor of Philosophy (Ph.D.), Computer Science, Approved with distinction and honors (Summa Cum Laude) at University of CoimbraBachelor's degree, Computer Science, 16.2, Bachelor's degree, Computer Science, 16.2 at Universidade de Coimbra
Github Skills (24)
crowd10
mechanical-turk10
sequence-labeling9
amazon9
generative9
keras9
bayesian-methods8
named-entity-recognition8
image-classification8
crowdsourcing8
probabilistic-programming7
statistics7
machine-learning7
tensorflow7
probabilistic7
Programming languages (1)
Github contributions (5)
fmpr/pyDCML
May 2022 - May 2022
Contributions:13 commits, 15 pushes, 1 branch in 1 day
fmpr/amortized-mxl
May 2020 - Feb 2022
Contributions:4 commits, 4 pushes, 1 branch in 1 year 9 months
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