Since February 2020 I am on leave from UPC and full time at Amalfi Analytics. The UPC email address will continue working. I will not be able to take any interns or PhD students in the foreseeable future.
I work at the Department of Computer Science of Universitat Politècnica de Catalunya - BarcelonaTech (UPC). I belong to the LARCA research group.
My research is on Machine Learning and Data Mining, both in their algorithmic aspects and their applications. I am particularly interested in the applications of Data Science to Social Good.
I am co-founder of Amalfi Analytics. We create data analytic platforms that help with the management of complex healthcare organizations, using Machine Learning. We help hospitals provide better care for their patients and better working conditions for their professionals. The ultimate goal is to keep healthcare sustainable, accessible, and fair.
News:
- June 7th, 2023: Gilles Blondel defended his PhD thesis "Causal discovery and prediction: methods and algorithms" today. Two advances in Pearl's causal graph - do-calculus formalism: On incorporating prior knowledge to causal discovery algorithms, an defining and inferring the effect of interventions in dynamical systems. Co-supervised with Marta Arias.
- April 2023: New paper, in a top Data Science journal: A case study of improving a non-technical losses detection system through explainability. Data Mining and Knowledge Discovery (2023), Special Issue on Explainable and Interpretable Machine Learning and Data Mining. Thanks to co-authors Bernat Coma-Puig, Albert Calvo, Josep Carmona, it was a long process but worth it.
- September 2022: Conference communication, Disease classification risk through machine learning algorithms: Lessons learned from COVID-19. Xiao Zhang, Maria Barros, Maria Paula Gómez, Entela Kondi, Fritz Diekmann, Chloë Ballesté, Marián Irazábal, P. Montagud Marrahi, E. Sánchez Álvarez, M. Blasco, Martí Manyalich, Ricard Gavaldà, Pedro Ventura Aguiar, Jaume Baixeries. 29th International Conference of the Transplantation Society. Buenos Aires, 11th-14th September 2022. Abstract
- January 18th, 2022: Javier Fernández de la Rosa defended his PhD thesis, on using Machine Learning in soccer analytics. an industrial doctorate carried out at Futbol Club Barcelona. Luke Bornn was the main supervisor.
- September 2021: New paper out, Development and Validation of a Model to Predict Severe Hospital-Acquired Acute Kidney Injury in Non-Critically Ill Patients. (Team led by Alfons Segarra) Journal of Clinical Medicine 2021, 10(17), 3959; doi:10.3390/jcm10173959
- September 2021: We held the Sixth Workshop on Data Science for Social Good (SoGood 2021) on Sept 13th. 8 great papers and keynote talks by Paul Lukowicz, Fosca Gianotti, and Dino Pedreschi.
- April 2021: A paper on clustering patients with Idiopathic Pulmonary Fibrosis, with researchers at Bellvitge University Hospital (Barcelona), published in the ERJ Open Research Journal of the European Respiratory Society.
- October 2020: Survey paper on AI in critical care in the light of covid: Artificial Intelligence for clinical decision support in critical care, required and accelerated by COVID-19. Miia Jansson, Juanjo Rubio, Ricard Gavaldà, Jordi Rello. Journal of Anaesthesia Critical Care & Pain Medicine, 39:6, December 2020, p. 691-693.
- September 18th, 2020: We held the 5th Workshop on Data Science for Social Good (SoGood 2020) in fully online mode. It was associated to the ECML PKDD conference. Two great keynote talks by Pedro Saleiro and Natalia Adler, plus 7 accepted papers on how to use data for good.
- July 2020: I am in the panel of a session on Data for Good at ICML 2020. One live session, and a re-run.
- March 6th, 2020: Rafael Mena-Yedra defended his PhD thesis, on using Machine Learning for traffic prediction. an industrial doctorate on traffic prediction and management at Aimsun, co-supervised with Jordi Casas.
- Feb 5th, 2020: I start an academic leave to go full time in Amalfi Analytics. Quite a change after 30+ years in UPC!