Photo nicolasdohr.comI recently (2022) finished a PhD at Université de Lorraine (UL), Nancy – France, advised by Miguel Couceiro and Amedeo Napoli. I am currently member of the Orpailleur team, which is specialized on Knowledge Discovery in Databases (KDD) and in Knowledge Engineering (KE).

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.

I obtained BSc and MSc degrees in Computer Science from Universidade Federal de Uberlândia (UFU), Uberlândia – Brazil, in 2015 and 2017 respectively. I worked at UFU under the supervision of Sandra de Amo from 2012 to 2014 and Maria C. Barioni from 2015 to 2017. At that time, my research work focused on semi-supervised clustering, preference mining and recommender systems.

What’s new

  • [Jan 23] FixOut is now part of a startup project
  • [Dec 22] I successfully defended my PhD thesis 🙂
  • [Jan 22] Presenting at Café TAL.
  • [Jul 21] Paper accepted at DSAA’21, Remote
  • [Apr 21] Presenting at PDIA’21, Remote

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

Latest pre-prints

  • Survey on Fairness Notions and Related Tensions. 2022
  • FixOut: an ensemble approach to fairer models. 2021