Francisco Pinto

Nationalité: Swiss-Portuguese

EPFL AVP-E CEDE
CE 0 94.1 (Centre Est)
Station 1
1015 Lausanne

Expertise

Math, physics, data science, machine learning, deep learning, natural language processing, graph theory.
Francisco holds a degree in Computer Science from the University of Porto, and a Ph.D. in Signal Processing from the école polytechnique fédérale de Lausanne (EPFL). He is currently leading the development of EPFL's data intelligence infrastructure for institutional data, as well as its new ML/Graph-powered search engine (graphsearch.epfl.ch). His interests lie in the intersection between educational sciences and artificial intelligence.