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Daniel Gatica-Perez is a professor at École Polytechnique Fédérale de Lausanne (EPFL) where he leads the Social Computing Group at the Idiap Research Institute. He holds a PhD in Electrical Engineering from the University of Washington. His research interests include social computing, ubiquitous computing, and machine learning, focusing on understanding human behavior through daily life applications aimed at social good. His current work involves mobile crowdsourcing, social video analytics, and the analysis of ancient Maya hieroglyphic collections. He has received research support from various national and international funding agencies as well as industry partners. Gatica-Perez teaches courses at EPFL that integrate media studies, machine learning, and computational methods to analyze social practices through social media platforms.
EPFL • Lausanne, Switzerland
Leading the Social Computing Group and teaching courses related to social media analytics and computational methods.
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