Scientist and engineer with over 15 years of experience deploying AI, ML, and Data-driven solutions at scale. Former Citi Bank Innovation Lab, IBM Research, L3S Research Center. Ernesto has successfully created products and services based on cutting-edge AI/ML research for a variety of industries that range from banking, energy, telco, news media, education, and tourism.
Ernesto holds a PhD (magna cum laude) in Computer Science from the Web Science Lab, L3S Research Center, in the University of Hannover, Germany, a MSc in Computer Science from the University of Freiburg, Germany, and a BSc in Electrical Engineering from the Central American University (UCA), El Salvador.
Claudia is a scientist and engineer whose work leverages the power of machine learning, natural language processing, social network analysis, and opinion mining to unveil patterns of engagement, attention, and influence on the digital era. She holds a PhD in Computer Science from the University College Dublin, Ireland, a Master's of Science degree from the Leibniz University in Hannover, Germany, and a B.Sc. degree from the University of El Salvador (UES).
Former visiting researcher at MIT Media Lab's Center for Civic Media where she conducted research with the MediaCloud team on identifying influential American news outlets. She is also a former researcher at the L3S Research Center in the Leibniz University in Hannover, Germany, where she worked on several European projects involving research on crowdsourcing, multimedia information retrieval, and sentiment analysis applied to video ranking and presidential popularity prediction.
Igor is a scientist and engineer with ample experience in software and research projects whose topics range from journalism to law. He holds a PhD and a MSc degree in Computer Science from the University College Dublin, Ireland, and a B.Sc. in IT Management from Dundalk Institute of Technology.
Member of the winning team of the SNOW (Social News on the Web) Data challenge hosted at the WebConf in 2014, Igor worked on automatically mining the Twitter social stream to provide journalists a set of headlines and complementary information that summarize the most important topics for a number of time slots of interest. Among other projects, Igor collaborated with Storyful to test and develop a recommendation engine and breaking news monitor.