A/ProfCatarina Pinto Moreira
Associate Professor
Data Science Institute
BIO
Dr. Catarina Moreira is a Computer Scientist and Engineer with extensive expertise in deep learning technologies and their societal impacts. She holds the position of Associate Professor in Machine Learning at the Data Science Institute, University of Technology Sydney. Her research interests comprise human-centered AI, multimodal deep learning, explainable AI, and probabilistic graphical models. Dr. Moreira is committed to advancing these fields while addressing their broader societal implications.
Dr. Moreira co-founded the XAMI research initiative (eXplainable Analytics for Machine Intelligence), where she co-leads a team of PhD students dedicated to developing human-interactive probabilistic models. This initiative focuses on creating AI models that are fair, transparent, and trustworthy. Her work in this area addresses critical issues in AI ethics and transparency, fostering the development of reliable and comprehensible systems.
In her role as the UNESCO Co-Chair on Artificial Intelligence (AI) and Extended Reality (XR), Dr. Moreira is instrumental in developing collaborative programs and projects that leverage explainable AI frameworks for medical diagnosis. This position allows her to contribute significantly to the training of future radiologists, ensuring they are equipped with advanced tools and knowledge to excel in their field. Her work in this capacity underscores her commitment to integrating cutting-edge AI technologies with practical medical applications.
She has been recognised for her outstanding contributions to the field, winning the Women in AI Awards: AI in Quantum (2024) and the Women in Technology Awards: The Heart of Our Values Award (2021). Additionally, she was a finalist for the Women in Technology Awards: Rising Star in Technology (2021).
UNIVERSITY OF TECHNOLOGY SYDNEY APPOINTMENTS
- Associate Professor in Machine LearningUniversity of Technology Sydney, Data Science Institute, Sydney, Australia15 Jul 2024 - present
PROFILE TYPE
- Academic