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ALT Mexican NLP Summer School. Isabelle Augenstein is an associate professor at the University of Copenhagen, where she heads the Copenhagen Natural Language Understanding research group as well as the Natural Language Processing section. Her main research interests are fact checking, low-resource learning and explainability. Prior to this, she was a postdoctoral researcher at University College London and a PhD student at the University of Sheffield. She is the president of the ACL Special Interest Group on Representation Learning (SIGREP) and maintains the BIG Directory of members of underrepresented groups and supporters in Natural Language Processing. Dr. Isabelle Augenstein, Professor at the University of Copenhagen.

ALT Mexican NLP Summer School. Paco Guzmán is a Research Scientist working on Translations. His research has been focused on several aspects of Machine Translation including low-resource translation, translation mining, evaluation, and quality estimation. Over the years, Paco has been a speaker and panelist on several events dedicated to increasing diversity in AI. He co-founded the Facebook-Georgia Tech co-teaching program. Before joining Facebook in 2016, Paco was a Research Scientist at Qatar Computing Research Institute in Qatar in 2012-2016. He obtained his PhD in 2011 from ITESM (Monterrey Tech) in Mexico. Paco visited Carnegie Mellon University in 2008-2009 where he worked at the Language Technologies Institute. Dr. Francisco (Paco) Guzmán. Researcher at Facebook

ALT Mexican NLP Summer School. Gabriel Infante-Lopez is a Principal Data Science at Proofpoint Inc. He has a PhD in Natural Language Parsing, and expertise in Formal Methods, Data Mining and Machine Learning. He has more than 15 years' experience in Research and Development. He has worked as Architect designing and implementing Recommendation Engines, Expert Systems for Security, and Machine Learning Lifecycles and Architectures. He was a Principal Engineer at Wildlife Studios, McAfee and Intel. He has produced innovative ideas in Knowledge Representation, Graph Databases and Cyber Security. He has more than 20 international publications and 7 patents. His key interests include security, resilient fault tolerant system, machine learning, big data, knowledge representation and programming languages. Dr. Gabriel Infante-Lopez. Principal Data Science at Proofpoint Inc.

ALT Dra. Leticia Cagnina es Doctora en Ciencias de la Computación en la Universidad Nacional de San Luis (UNSL-Argentina), Magister y Licenciada en Ciencias de la Computación en la misma universidad. Investigadora Adjunta en el Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET-Argentina). Profesora en la UNSL en carreras de grado y posgrado. Actualmente co-dirige el proyecto de investigación denominado "Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web" (LIDIC-UNSL) y participa en la dirección de trabajos finales de carreras de grado y posgrado. Ha realizado estancias de investigación en el CINVESTAV-Universidad Politécnica Nacional (México), Universidad del Egeo (Grecia) y en la Universidad Politécnica de Valencia (España). Posee más de 40 publicaciones a la fecha, entre las que figuran artículos en revistas con factor de impacto, capítulos en libros y trabajos en congresos.

ALT Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Computer Science and Linguistics at Stanford University and Director of the Stanford Artificial Intelligence Laboratory (SAIL). His research goal is computers that can intelligently process, understand, and generate human language material. Manning is a leader in applying Deep Learning to Natural Language Processing, with well-known research on Tree Recursive Neural Networks, the GloVe model of word vectors, sentiment analysis, neural network dependency parsing, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, robust textual inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015).

ALT Dr. Steven Bethard joined the University of Arizona School of Information in August 2016, after three years as an assistant professor in Computer and Information Science at the University of Alabama at Birmingham. I previously worked as a postdoctoral researcher at Stanford University's Natural Language Processing group, Johns Hopkins University's Human Language Technology Center of Excellence, KULeuven's Language Intelligence and Information Retrieval group in Belgium, and the University of Colorado's Center for Language and Education Research. My research interests include natural language processing and machine learning theory and applications, including modeling the language of time and timelines, normalizing text to medical and geospatial ontologies, and information extraction models for clinical applications. There is a large community at the University of Arizona pursuing similar natural language processing research. Visit us at: http://nlp.arizona.edu/ Mexican NLP Summer Schoo

ALT Luciana Benotti es Profesora Asociada en Ciencias de la Computación en la Universidad Nacional de Córdoba e Investigadora en Inteligencia Artificial en CONICET, Argentina. Sus intereses de investigación incluyen diferentes aspectos del procesamiento del lenguaje natural situado e interactivo, como interpretar instrucciones en un diálogo, generar preguntas contextualizadas y decidir cuándo hablar en un sistema de diálogo, entre otros. Está particularmente interesada en cómo las características lingüísticas y las no lingüísticas contribuyen al significado que se transmite durante una conversación. Dichas características incluyen lo que están haciendo los participantes conversacionales mientras hablan, el contexto visual, aspectos temporales, etc. Ha sido científica invitada en la Universidad de Trento (2019), la Universidad de Stanford (2018), la Universidad de Roskilde (2014), la Universidad de Costa Rica (2012) y la Universidad del Sur de California (2010). Tiene un MSc Erasmus Mundus

ALT Mexican NLP Summer School. Ted Pedersen is a Professor in the Department of Computer Science at the University of Minnesota, Duluth. His research interests are in Natural Language Processing and most recently are focused on computational humor and identifying hate speech, with a particular focus on Islamophobia. His research has previously been supported by the National Institutes of Health (NIH) and a National Science Foundation (NSF) CAREER award. More details are available at http://www.d.umn.edu/~tpederse Dr. Ted Pedersen, Professor at the University of Minnesota, Duluth

ALT Mexican NLP Summer School. Daisuke Kawahara received his B.S. and M.S. in Electronic Science and Engineering from Kyoto University in 1997 and 1999, respectively. He obtained his Ph.D. in Informatics from Kyoto University in 2005. He is currently a professor of the department of communications and computer engineering, Waseda University. His research interests center on natural language processing, particularly knowledge acquisition and text understanding. Dr. Daisuke Kawahara, Professor at the Waseda University

ALT Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Computer Science and Linguistics at Stanford University and Director of the Stanford Artificial Intelligence Laboratory (SAIL). His research goal is computers that can intelligently process, understand, and generate human language material. Manning is a leader in applying Deep Learning to Natural Language Processing, with well-known research on Tree Recursive Neural Networks, the GloVe model of word vectors, sentiment analysis, neural network dependency parsing, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, robust textual inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Mexicanl NLP Summer School

ALT At Bloomberg, we leverage advanced AI methods to help products generate more value from their data. The AI group at Bloomberg, which consists of 180+ researchers and engineers help build financial solutions using machine learning, natural language processing, graph analytics, time series analysis, information retrieval, recommender systems, computer vision, and optimization. In this event, we'll walk through what Bloomberg AI team does and Bloomberg AI team members will talk about career stories, journey into AI and their work. Mexican NLP Summer School.

ALT Mexican NLP Summer School. Alexander Gelbukh received his MSc degree in mathematics, with distinction, from the M.V. Lomonosov Moscow State University, Russia, in 1990. He received his Ph.D. degree in computer science from the All-Russian Institute for Scientific and Technical Information, also in Moscow, in 1995. Since 1997, he serves as Research Professor and Head of the Natural Language Processing Laboratory of the Computer Research Center (CIC) of the Instituto Politécnico Nacional (IPN), Mexico. He has been the founding president of the Mexican Association for Natural Language Processing (AMPLN) for several years since 2000 and president of the Mexican Society of Artificial Intelligence (SMIA) in 2013–2014. Dr. Alexander Gelbukh. Full professor at CIC-IPN, Mexico.

ALT Mexican NLP Summer School. Grigori Sidorov obtained his PhD in Philology (Computational and Structural Linguistics) from “Lomonosov” Moscow State University, Russia, in 1996. He is currently full professor of Natural Language Processing Laboratory, Center for Computing Research, National Polytechnic Institute in Mexico City, Mexico. His research interests include computational linguistics, natural language processing and the application of machine learning techniques to NLP tasks. Dr. Grigori Sidorov. Full Professor at CIC-IPN, Mexico.