Antonia Godoy-Lorite graduated in Physics at the Universitat de Barcelona in 2010, and obtained MSc in Computational Physics from Universitat de Barcelona and Universitat Politècnica de Catalunya in 2011. She obtained a PhD in 2016 from the Universitat Rovira i Virgili under the supervision of Roger Guimerà and Marta Sales-Pardo. She came to the Imperial College of London in 2017 as a research associate in the EPSRC Center for Mathematics of Precision Healthcare. She conducted research on the long-term evolution of techno-social networks and on generative models based on Stochastic Block Models. She is currently working on the application of mathematical models to the population health outcomes.
Her research interests broadly involve complex systems with a special regard to social networks. This include the development of inference models and algorithmic data mining.
A Godoy-Lorite, R Guimerà, C Moore, M Sales-Pardo, 2016, Accurate and scalable social recommendation using mixed-membership stochastic block models, Proceedings of the National Academy of Sciences, Vol:113, ISSN 1091-6490. Open access link
A Godoy-Lorite, R Guimera, M Sales-Pardo, 2016, Long-term evolution of email networks: Statistical regularities, predictability and stability of social behaviors, PloS one, Vol:11, e0146113. Open access link