Henry Anaya Sánchez
About Henry Anaya Sánchez
Henry Anaya Sánchez serves as the NLP/NLU Technical Lead at Lang.ai since 2017, bringing extensive experience in natural language processing and machine learning. He holds a Ph.D. in Computer Science from Universitat Jaume I and has previously worked in various research and technical roles across Spain.
Work at Lang.ai
Henry Anaya Sánchez has served as the NLP/NLU Technical Lead at Lang.ai since 2017. In this role, he focuses on developing scalable and adaptive AI systems aimed at enhancing language understanding. His work involves applying both unsupervised and supervised learning techniques to text data, contributing to the company's advancements in natural language processing.
Previous Experience
Prior to his current position, Henry worked as a Senior Data Scientist at Séntisis from 2016 to 2018. He also held the position of Research Associate at UNED in Madrid from 2013 to 2016. Additionally, he served as a Researcher at Universitat Jaume I in Castellón, Spain, during two separate periods: from 2009 to 2011 and briefly in 2012.
Education and Expertise
Henry Anaya Sánchez obtained his Bachelor's Degree in Computer Science from Universidad de Oriente, Cuba, from 1998 to 2002. He furthered his education at Universitat Jaume I, where he earned a Doctor of Philosophy (Ph.D.) in Computer Science from 2009 to 2016. His academic background supports his expertise in semantic labeling, ontologies, and advanced natural language processing techniques.
Research and Specialization
Henry specializes in both unsupervised and supervised learning approaches for text data. His research includes engaging in video analysis using deep learning techniques, which enhances multimedia data interpretation. His contributions in these areas reflect his commitment to advancing the field of natural language understanding.