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.