I am a PhD student at Université de Lorraine (UL), Nancy – France, advised by Miguel Couceiro and Amedeo Napoli. I am currently member of the Orpailleur team that is specialized on Knowledge Discovery in Databases (KDD) and in Knowledge Engineering (KE).

I hold BSc and MSc degrees in Computer Science from Universidade Federal de Uberlândia (UFU), Uberlândia – Brazil, in 2015 and 2017 respectively.

My current research is mainly focused on the problems related to fairness, particularly the trade-off fairness-performance that arises when we try to mitigate unfairness.

Previously, I have investigated the employment of semi-supervision information for understanding clusters’ behaviour over time. I have also been working on preference mining and recommender systems.

What’s new

  • [Jan 22] Presenting at Café TAL.
  • [Jul 21] Paper accepted at DSAA’21, Remote
  • [Apr 21] Presenting at PDIA’21, Remote
  • [Feb 21] J’étais sélectionné pour la finale du concours MT180s de l’Université de Lorraine.
  • [Dec 20] FixOut’s website is now available. Check it out

Latest publications

  • Reducing Unintended Bias of ML Models on Tabular and Textual Data. DSAA, 2021
  • Making ML models fairer through explanations: the case of LimeOut. AIST, 2020