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CINTHIA MABEL SANCHEZ MACIAS

Líneas de Investigación


Data Mining; Natural Language Processing; Machine Learning; Information Retrieval; Network Analysis; Computational Social Science

Educación

  •  Engineer in Computer Science, Escuela Superior Politécnica Agropecuaria de Manabí. Ecuador, 2016
  •  Master in Computer Science, UNIVERSIDAD DE CHILE. Chile, 2021
  •  PhD(c) in Computer Science, UNIVERSIDAD DE CHILE. Chile

Experiencia Académica

  •   Teaching Assistant of Data Mining Other

    UNIVERSIDAD DE CHILE

    Faculty of Physical and Mathematical Sciences

    Santiago, Chile

    2022 - 2023

  •   Teaching Assistant of Data Mining Other

    UNIVERSIDAD DE CHILE

    Faculty of Physical and Mathematical Sciences

    Santiago, Chile

    2020 - 2023

  •   Instructor of Data Mining Other

    UNIVERSIDAD DE CHILE

    Faculty of Physical and Mathematical Sciences

    Santiago, Chile

    2023 - 2024

  •   Instructor of Visualizations in Python Other

    UNIVERSIDAD DE CHILE

    Faculty of Physical and Mathematical Sciences

    Santiago, Chile

    2023 - At present

  •   Instructor of Technical Aspects of Artificial Intelligence Other

    UNIVERSIDAD DE CHILE

    Faculty of Law

    Santiago, Chile

    2022 - At present

  •   Research Intern Other

    University of Southern California

    Los Angeles, Estados Unidos

    2024 - 2024

Experiencia Profesional

  •   Science and Technology Analyst Full Time

    Secretaría de Educación Superior, Ciencia, Tecnología e Innovación

    Portoviejo, Ecuador

    2017 - 2018

Premios y Distinciones

  •   Outstanding Teaching Assistant

    Computer Science Department, University of Chile

    Chile, 2020

    Distinction as Outstanding Teaching Assistant, awarded by the Department of Computer Science, University of Chile.

  •   National Awards 2016

    Secretaría de Educación Superior, Ciencia, Tecnología e Innovación

    Ecuador, 2016

    First place in the IV University Student Research Recognition Contest: National Awards 2016, in the ICT area, Ecuador. Project: Recognition of the Ecuadorian Sign Language Based on Recurrent Convolutional Networks (in Spanish).


 

Article (2)

Large Language Models in Crisis Informatics for Zero and Few-Shot Classification
Transfer Learning for the Multilingual and Multi-Domain Classification of Messages Relating to Crises

ConferencePaper (1)

Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
1
Andrés Abeliuk

Profesor Asistente

Ciencias de la Computación

Universidad de Chile

Santiago, Chile