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Gaël Aglin

I am a postdoctoral fellow in Artificial Intelligence and Algorithms (AIA) research group at UCLouvain. I held a PhD from UCLouvain in 2022. My main research focuses on Machine Learning and Combinatorial Optimization. Broadly, I am passionate about programming and artificial intelligence; specifically creating machine learning models or applying deep learning algorithms on exciting projects. I am also interested in solving combinatorial optimization problems using algorithmic techniques and tailored data structures. I like to discover and analyze new problems. My updated CV can be downloaded here.

EXPERIENCE

  • 2022-10 – Now

    Postdoc, UCLouvain

  • 2018-01 – 2020-06

    Data Analyst, bpost (part time)

  • 2018-01 – Now

    Teaching assistant, UCLouvain

EDUCATION

  • 2018-01 – 2022-10

    PhD in Engineering Sciences and Technologies, UCLouvain

  • 2014-10 – 2016-09

    Master in Information Systems and Computer Networks, UAC

  • 2011-10 – 2013-09

    Bachelor in Electrical and Computer Engineering, UAC

AWARDS

  • 1st Place at national selection phase for International Collegiate Programming Contest (ICPC), Benin, 2016.

RESEARCH INTERESTS

  • Combinatorial optimization
  • Algorithms
  • Machine Learning
  • Data Mining
  • Explainable AI
  • Fairness
  • Privacy

PROGRAMMING SKILLS

  • C++

    90%

  • Python

    90%

  • Java

    65%

  • C

    60%

  • R

    55%

RECENT PUBLICATIONS

[All Publications]
  1. Learning Optimal Decision Trees Under Constraints
    Aglin, Gaël
    In PhD Thesis, 2022
  2. Learning Optimal Decision Trees Under Memory Constraints
    Aglin, Gaël, Nijssen, Siegfried, and Schaus, Pierre
    In European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 599–616, 2022
  3. Assessing Optimal Forests of Decision Trees
    Aglin, Gaël, Nijssen, Siegfried, and Schaus, Pierre
    In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), pp. 32–39, 2021