Cláudia Soares holds the Ph.D., M.Sc., and B.Sc. degrees in electrical and computer engineering from the Instituto Superior Técnico, Portugal, and the degree in modern languages and literature
from the Nova University of Lisbon. She is an Assistant Professor with the NOVA School
of Science and Technology, and a Researcher with NOVA LINCS, Portugal. She uses real-world data problems to identify the shortcomings of current machine learning, data science, and big data methods. She applies optimization, statistics, and probability theory to address those gaps, developing robust, interpretable, and fair learning methods that can be trusted in real life.