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Fernando Diaz

Associate Professor at Carnegie Mellon University

Fernando Diaz is a seasoned professional with a rich background in information retrieval, recommendation systems, formal models, statistical methods, and machine learning. He has a keen interest in evaluation practices and the societal implications of AI technologies. Fernando is an active contributor to major academic conferences such as SIGIR, WSDM, and WWW, showcasing his extensive experience in both academia and industry. He aims to strike a balance between academic research and creating tangible product impacts. Specializing in fairness, accountability, transparency, ethics, information retrieval, machine learning, human-computer interaction, and statistics, Fernando possesses a versatile skill set that spans various domains.

Fernando Diaz
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Location

Pittsburgh, Pennsylvania, United States