Eventi di Teresa Mondria Terol
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Teresa Mondria Terol
Teresa Mondría Terol is a product engineer and journalist on the AI Initiatives team at The New York Times. She specializes in leveraging artificial intelligence and other machine-learning algorithms to enhance investigative reporting. Often, that involves performing computational analyses to help sift through extremely large data sets. She also builds software tools that help reporters and editors use these technologies themselves.
Before joining The Times, she worked in product operations at The Browser Company, where she specialized in A.I. quality, and held data science and A.I. positions at Chartbeat and the United Nations. She also conducted research on media audience behavior with the Brown Institute for Media Innovation and Columbia Climate School. She started her career as a product manager in Spain, working with the media outlet El Orden Mundial and the innovation firm Igeneris.
She holds a master’s degree in Quantitative Methods from Columbia University, a master’s degree in Journalism Innovation from Miguel Hernández University, and a dual bachelor’s degree in Journalism and Media Studies from Carlos III University of Madrid.
Before joining The Times, she worked in product operations at The Browser Company, where she specialized in A.I. quality, and held data science and A.I. positions at Chartbeat and the United Nations. She also conducted research on media audience behavior with the Brown Institute for Media Innovation and Columbia Climate School. She started her career as a product manager in Spain, working with the media outlet El Orden Mundial and the innovation firm Igeneris.
She holds a master’s degree in Quantitative Methods from Columbia University, a master’s degree in Journalism Innovation from Miguel Hernández University, and a dual bachelor’s degree in Journalism and Media Studies from Carlos III University of Madrid.