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Graduating in 2023 with a MSc in Computer Science specialised in Artificial Intelligence from Sorbonne University.

Areas of expertise:

  • Machine Learning - supervised, unsupervised, (deep) reinforcement learning
  • Multi-Agent Systems - planning, consensus dynamics, distributed constraint optimisation, BDI
  • Decision Support - multiple-criteria and collective decision-making, choice under uncertainty, computational social choice
  • Operations Research - linear programming, path-finding algorithms, genetic algorithms, branch and bound, scheduling
  • Human-Computer Interaction - user-centered design, user modeling, tracing, adaptive systems, game design, VR
  • Robotics - subsomption architectures, evolutionary algorithms, swarm robotics

Interested in applying my knowledge:

  • for education and science communication, in particular for K-12 audiences,
  • for citizen-science initiatives,
  • to tackle the climate and biodiversity crises,
  • to raise awareness about mental health issues, and
  • to fight against discrimination of all forms.

dreamlumos's Projects

fosyma-dedale icon fosyma-dedale

Multi-agent treasure hunt based on Hunt the Wumpus. Communication protocols, formation of coalitions for equitable sharing, deadlock management.

magam icon magam

Python implementation of the Multi-Aspect Generic Adaptional Model. This tool can be used by educators to adapt and personalise learning activities for each student.

play-store-data-analysis icon play-store-data-analysis

[May 2021] App categorisation using supervised learning and sentiment analysis using unsupervised learning. Algorithms implented from scratch.

protocol-analyzer icon protocol-analyzer

Projet de programmation d'un analyseur de protocoles réseau "offline" | UE : LU3IN033 Sorbonne Université

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