Thomas Palmeira Ferraz

Thomas Palmeira Ferraz

Phd Track at Institut Polytechnique de Paris

Thomas Palmeira Ferraz


👋 Hi, there! I’m Thomas! Welcome to my website!

PhD Track Student at Télécom Paris and École Polytechnique
Master Student at ENS Paris-Saclay
Research Assistant at Universidade de São Paulo

Contact: thomas [dot] palmeira [at] telecom-paris [dot] fr

Visitors

👨🏻‍💻 About me

I am a PhD Track student at Télécom Paris & École Polytechnique, Institut Polytechnique de Paris and Master MVA (Mathématiques, Vision, Apprentissage) at École Normale Supérieure (ENS Paris-Saclay). Before that, I finished the engineering cycle at Escola Politécnica da Universidade de São Paulo. I am a researcher on Natural Language Processing currently working on Few-Shot Learning, Low-Resource NLP, Adversarial Robustness in Text Models, and Multilingual Language Models. Right now, I am leading two projects related to Fake News Detection on Social Media, and Low-Resource NLP for Indigenous Languages in Brazil 🇧🇷.

🔬 Research interests

I’m a curious person and have I lot of interets 😅. Here is the ones I’m focusing more currently:

  • Natural Language Processing (NLP)
  • Low-Resource NLP
  • Few-Shot Learning
  • Adversarial Robustness on NLP
  • Machine Translation
  • Graph ML
  • Ethics on Technology
  • Explainable AI
  • …

💻 Work Experience

  • Apple (Mar. - Aug. 2022): Research Intern, NLP.
  • Universidade de São Paulo (Since Apr. 2021): Volunteer Research Assistant, NLP.
  • Accenture (Jan. 2020 - Feb. 2022): Software Engineer Intern (2020) / Machine Learning Engineer (2021).
  • Escola Politécnica da Universidade de São Paulo (Aug. 2015 - Jul. 2018): Research Intern.

Check more info on my CV.

👨🏻‍🎓 Education

  • Télécom Paris & École Polytechnique, Institut Polytechnique de Paris, France (Sep. 2021 - Jun. 2025)
    • PhD Track (Master + PhD) Data and Artificial Intelligence
  • École Normale Supérieure (ENS Paris-Saclay), Université Paris-Saclay, France (Sep. 2022 - Aug. 2023)
    • Master 2 MVA - Mathematics, Vision, and Learning - Reproducible Research Track
  • Universidade de São Paulo, Institute of Mathematics and Statistics, Brazil (Sep. 2020 - Dec. 2021)
    • MSc. Computer Science – Thesis topic: Explainable AI in Natural Language Processing
  • Universidade de São Paulo, Escola Politécnica, Brazil (Feb. 2015 - Dec. 2020)
    • Engineering Degree – Major in Electrical Engineering, Electronics and Computer Systems