Felipe Bravo-Marquez is Assistant Professor with the Department of Computer Science at the University of Chile, Associate Researcher at the National Center for Artificial Intelligence Research (CENIA) , and Young Researcher at Millennium Institute for Foundational Research on Data (IMFD). He conducted his PhD degree in the Machine Learning Group at the University of Waikato, New Zealand, where he also held a research fellow position for two years. He currently holds an Honorary Research Associate position with this group. Previously, he received two engineering degrees in the fields of computer science and industrial engineering, and a masters degree in computer science, all from the University of Chile. He worked for three years as a research engineer at Yahoo! Labs Latin America. His research interests and expertise lie in the acquisition of knowledge and information from natural language, spanning the overlapping fields of natural language processing (NLP), machine learning (ML), artificial intelligence (AI), and information retrieval (IR). During his research career he has developed several NLP and ML methods for the analysis of opinions and emotions in social media, as well as other applications focused on fairness, health, education, among others. His work has been published in top tier AI conferences and journals e.g., IJCAI, ICWSM, SIGIR, EACL, COLING, ECAI, JMLR, Knowledge-based Systems. He has been part of the program committees of important conferences in natural language processing and artificial intelligence, including ACL, AAAI, EMNLP, NAACL, IJCAI, and ECAI. felipebravom.com 499/2,600