Summary
Fernando Diaz is an associate professor and seasoned research scientist with 11+ years bridging academic excellence and industry impact in information retrieval, recommendation, and responsible AI. He has led multidisciplinary teams at Microsoft Research, Spotify, and Google, publishing regularly at SIGIR, WSDM, and WWW while translating research into product improvements and policies. His work blends formal models, statistical methods, and machine learning with a strong emphasis on evaluation and the societal impacts of AI, including fairness, accountability, transparency, and ethics. Known for building research culture and operationalizing FATE (fairness, accountability, transparency, and ethics) teams, he balances community service with tangible deployment outcomes. Based in Pittsburgh, he brings deep theoretical roots (PhD-level research) together with extensive industrial leadership, often focusing on practical evaluation metrics that reveal real-world harms and opportunities.
11 years of coding experience
16 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of Michigan
MS, Computer Science, MS, Computer Science at University of Massachusetts Amherst
Spanish