Felipe Bravo-Márquez

Associate Professor in the Department of Computer Science at Universidad de Chile and Young Researcher at the Millennium Institute Foundational Research on Data (IMFD). 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 a position as Honorary Associate Researcher in this group. Previously, he received two professional degrees in computer engineering and industrial engineering, as well as a master’s degree in computer science from Universidad de Chile. He worked for three years as a research engineer at Yahoo! Labs Latin America. His research interests and expertise focus on knowledge and information acquisition from natural language, spanning 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 opinion and emotion analysis in social media, which have been published at prestigious conferences and journals such as IJCAI, ECAI, JMLR, and Knowledge-based Systems. He has served on the program committee of major conferences in natural language processing and artificial intelligence, such as ACL, EMNLP, NAACL, IJCAI, and ECAI.

Felipe has co-organized two shared tasks on automatic emotion analysis in tweets. One of these tasks was part of SemEval, the leading venue for hosting natural language processing tasks, and attracted around 200 participants from around the world. He is the lead developer and maintainer of the AffectiveTweets software, an open-source tool for analyzing emotion and sentiment in tweets. His work has been cited more than 1000 times (Google Scholar, January 2019). He has given invited talks 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.