Research

My research interests include (but are not limited to):

• Machine learning for data streams
• Learning from imbalanced data
• Missing data imputation

Open-Source Software

• River
• scikit-multiflow

Program committees

• Conference organizing committee
  • Reproducibility Chair — 21st IEEE International Conference on Data Mining (ICDM)
• Memberships
  • ACML 2018, 2019, 2020
  • ECAI 2020
  • IJCAI-PRICAI 2020, 2021
  • PAKDD 2018, 2020, 2021
  • SIGKDD 2021
• Reviewer
  • ACML 2017
  • NEURIPS 2020
• External reviewer
  • SIGKDD 2017, 2018, 2019, 2020

Courses at the University of Waikato (New Zealand):

• COMPX523 - Data Stream Mining (2020, 2021)

Courses at Télécom ParisTech / Université Paris-Saclay (France):

• [DS] CES Data Scientist (2018)
• [DK908a] IoT Big Data Processing (2017, 2016)
• [SD207] Big Data Mining (2018, 2016)
• [DK904] IoT Big Data Stream Mining (2019, 2018, 2017, 2016)
• [DK911b] Machine Learning and Data Mining (2018, 2017, 2016)
• [SD701] Big Data Mining (2017)
• [INF225] Databases / Bases de données (2017, 2016, 2015)
• [SD202] Introduction aux Bases de Données (2018, 2017, 2016)

Courses in the Computer Science Department, University of Queretaro (Mexico):

• Pattern Recognition (2011)
• Analysis of Algorithms (2011)
• Advance Data Structures (2011)