Sergio López-Sancio is a psycholinguist specializing in human language processing and Natural Language Processing (NLP). He holds a PhD from the University of the Basque Country (UPV/EHU), an MA in Linguistics from the same institution, and a BA in English Philology from the University of Oviedo, where he earned the National Award for Excellence in Academic Performance and an Outstanding Degree Award for his honors thesis on the subjunctive mood in English and Spanish. His research focuses on real-time dependency processing, combining EEG and behavioral methods to study syntactic structures across languages. He has presented at prestigious conferences such as the Linguistic Society of America and AMLaP, addressing topics like dependency locality, island effects, and cross-linguistic variation in Basque, Spanish, and Italian. López-Sancio has contributed to research projects including OVO: Originating Variation from Order (MINECO-funded), The Bilingual Mind (Basque Government), and AThEME (EU-funded), totaling over €5M in funding. His current role at Amazon involves enhancing Alexa's Spanish language understanding through NLP tools. Key Awards: National Award for Excellence in Academic Performance, Outstanding Degree Award, Outstanding Cum Laude Dissertation Research Themes: Dependency Parsing, Locality Effects, Cognitive Modeling, Cross-Linguistic Syntax











