About me

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I am a senior data scientist and also a researcher in the field of Artificial Intelligence. My journey begins with an atypical background in Science. I have a Ph.D. in astrophysics in which I studied the atmosphere of Venus in the case of an exoplanet to help characterize the atmospheres of exoplanets. Why AI in this case? I used data processing and data mining methods during my Ph.D., which allowed me to become a data scientist and learn the machine and deep learning methods. I’m passionately curious, and I always want to deep dive into new methods to see how they work.
I also have a disability. I have Asperger’s Syndrome and high autism. My vision of the world is slightly different from the other. I can not detect or understand the emotional behaviour nor see the embarrassment when talking to someone. Social interactions are a mess for me because I must learn how to react during conversations.


Research axis

My main areas of research are:

  • Deep Learning
  • Causality and uncertainty propagation
  • Quantum Computing - started recently with a focus on QML My future areas are in:
  • Reinforcement learning and multi-agent reinforcement learning with constraints environments
  • Graph Neural Networks and Graph Representation Learning

I’m working with the University of Laval and the University of Chicoutimi through a partnership on three major axes:

  • Data mining and data generation
  • Ethics, Bias, Fairness, Explainability
  • Cybersecurity using AI

Interests

I have also many interests in different fields like:

  • Reasoning
  • Reinforcement Learning
  • Graph theory
  • GNN
  • Knowledge Graph
  • Source separation
  • Complex and Quaternion Neural Networks
  • Hopfield Network
  • Quantum Computing
  • Neurosciences