Fernando Diaz is an Associate Professor at Carnegie Mellon University and a researcher at Google, focusing on the evaluation and design of information retrieval and recommendation systems and their societal impacts. He has contributed to advancing methodologies for assessing search and recommendation rankings and co-presented tutorials on evaluation metrics using mixed qualitative and quantitative approaches. His research includes innovations in stochastic ranking and expected exposure within recommendation systems.

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