Quyen-Linh TA

I am a Ph.D. student at the Institut Polytechnique de Paris and Orange AI Labs, where I focus on multi-agent sequential decision-making and cooperative AI. My research is driven by the challenge of extracting actionable insights from large-scale, high-dimensional data in complex, sample-starved, uncertain, and resource-constrained environments. Leveraging frameworks such as online learning, reinforcement learning, and multi-armed bandit algorithms, I aim to design scalable, data-driven strategies for intelligent coordination.

Under the supervision of Prof. Tijani Chahed [IP Paris], Dr. Raphaël Féraud, and Dr. Fatma Salem [Orange Labs], my doctoral research emphasizes applications in demand-response strategies for smart grids.

Prior, I completed my M.Sc. in Artificial Intelligence and Data Science under the supervision of Prof. Tristan Cazenave and also B.Sc. in Computer Science at the PSL Research University. I have also spent time as an AI research engineer at IDEMIA, and Crédit Agricole CIB as an AI researcher in quantitative trading.