CV

Contact Information

Name Paloma Piot
Professional Title Postdoctoral Researcher in Natural Language Processing
Email palomapiot@udc.es

Professional Summary

Postdoctoral researcher at the IRLab, Universidade da Coruña, working on computational methods for hate speech detection, multilingual NLP, and model explainability. PhD (cum laude, 2026) as a Marie Skłodowska-Curie doctoral candidate in the HYBRIDS project.

Experience

  • 2026 - present

    A Coruña, Spain

    Postdoctoral Researcher
    IRLab - Universidade da Coruña
    • Research on perspectivist approaches to hate speech detection with LLMs
  • 2023 - 2026

    A Coruña, Spain

    Marie Skłodowska-Curie Doctoral Researcher
    IRLab - Universidade da Coruña
    • PhD thesis on hate speech detection within the HYBRIDS project

Education

  • 2023 - 2026

    A Coruña, Spain

    PhD
    Universidade da Coruña
    Natural Language Processing / Computer Science
    • Thesis: Explainable and Efficient Language Models for Hate Speech Detection
    • Cum laude, defended 21 September 2026
    • Marie Skłodowska-Curie doctoral candidate within the HYBRIDS project
  • 2018 - 2020

    A Coruña, Spain

    MSc
    Universidade da Coruña
    Computer Science
    • Thesis on early risk detection of mental disorders in social media
  • 2014 - 2018

    A Coruña, Spain

    BSc
    Universidade da Coruña
    Computer Science

Publications

Awards

  • 2021
    Best Open Source Project Award
    Universidade da Coruña

    Awarded by Universidade da Coruña for the best open-source university project in 2021.

Skills

Natural Language Processing: Hate Speech Detection, Dataset Construction, Multilingual NLP, Benchmarking
Machine Learning: LLMs, Model Distillation, Explainability, Debiasing

Languages

Spanish : Native speaker
Galician : Native speaker
English : Fluent (C1)

Projects

  • HYBRIDS

    European research project focused on hybrid intelligence to monitor, promote and analyse transformations in good democracy practices.

    • Human-in-the-loop hate speech detection
    • Multilingual and low-resource language focus
    • Ethical and explainable AI for content moderation