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Trobades@LAIA amb el Dr. Patrick McSharry, Carnegie Mellon University
Data de publicació: En aquesta trobada, celebrada el dijous 26 de juny de 2025, a les 12:00 en l'Aula A10 de l'edifici Anselm Turmeda, el Dr. Patrick McSharry, Carnegie Mellon University va impartir la conferència "AI for good: impactful predictive analytics" dins el marc de les Trobades@LAIA.
Galeria d'imatges
Bio: Patrick McSharry is a Research Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University, Research Fellow at the Kigali Collaborative Research Centre (KCRC) and Strategic Advisor to the World Bank funded African Centre of Excellence in Data Science (ACE-DS). Prof McSharry is a Fellow of the Royal Statistical Society, Senior Member of the IEEE and advises organizations in the public and private sectors such as the World Bank, OECD's Global Partnership on Artificial Intelligence (GPAI), Mastercard Foundation, Google Foundation, GSMA Foundation's Inclusive Tech Lab and the International Telecommunication Union (ITU) “AI for Good” initiative. He was a Royal Academy of Engineering Research Fellow at Oxford University and held two EU Marie Curie Fellowships (Oxford University, UK and Spain). He takes a multidisciplinary approach to developing quantitative techniques for automating decision-making and improving risk management. His research focuses on artificial intelligence, machine learning, data science, big data, forecasting, predictive analytics, and the analysis of human behaviour. He has published over 100 peer-reviewed papers and three books including the "Big Data Revolution" (2015). He is currently building multidisciplinary partnerships to create data-driven and sustainable solutions to global challenges.