Danielly Sorato is a computer scientist interested in Natural Language Processing. She is a software developer in the Social Sciences & Humanities Open Cloud (SSHOC) at the Research and Expertise Centre for Survey Methodology (RECSM) of Universitat Pompeu Fabra (Barcelona, Spain). She also works with the Survey Quality Predictor (SQP) software, which predicts measurement error caused by characteristics of survey items.
Currently, Danielly is a PhD candidate in the Departamento de Traducción y Ciencias del Lenguaje at Universitat Pompeu Fabra .She holds a BSc (2017) and an MSc (2019) in Computer Science from Universidade Federal de Santa Catarina (Florianópolis, Brazil).
Research projects (most recent)
"Social Sciences and Humanities Open Cloud (SSHOC)" (2019-ongoing). PI: Dr. Diana Zavala-Rojas. Additional information