Felipe Bravo-Marquez

Associate Professor in the Department of Computer Science at the University of Chile and Junior Researcher at Millennium Institute Foundational Research on Data. He completed his PhD in the Machine Learning group at the University of Waikato, New Zealand, where he also worked as a Research Fellow for two years. He currently holds an Honorary Associate Researcher position in this group. Previously, he received two professional degrees in computer engineering and industrial engineering, and a master's degree in computer science from the University of Chile. He worked for three years as a research engineer at Yahoo! Labs Latin America. His research interests and experience focus on knowledge and information acquisition from natural language, covering the areas of natural language processing (NLP), machine learning (ML), artificial intelligence (AI), and information retrieval (IR). In his research, he has developed several NLP and ML methods for analyzing opinions and emotions in social media, which have been published in prestigious conferences and journals such as IJCAI, ECAI, JMLR, and Knowledge-based Systems. He has served on the program committee for major conferences in natural language processing and artificial intelligence, such as ACL, EMNLP, NAACL, IJCAI, and ECAI.

Felipe has co-organized two shared tasks in the automatic analysis of emotions in tweets. One of the tasks became part of SemEval, the main event where a task in natural language processing can be hosted, and attracted around 200 participants from around the world. He is the main developer and maintainer of the AffectiveTweets software, an open-source tool for analyzing emotions and sentiment in tweets. His work has been cited more than 1,000 times (Google Scholar, January 2019). He has given guest lectures on NLP and deep learning at several Chilean universities, the University of Melbourne, the National Research Council, Canada, and the Institute of Computational Linguistics at the University of Zurich, among others.