Hanae is a French student in Machine Learning, currently enrolled in a double-degree program between Centrale Lille and KTH Royal Institute of Technology. Her background includes studies in mathematics and physics, along with programming skills (Python, Java, SQL, JavaScript) and deep learning experience (TensorFlow, Keras, model fine-tuning). She have worked on several academic projects, including a text-based emotion detection system, an air quality prediction model using weather data, and a wildfire forecasting project that included a user interface. She am now pursuing a Master’s at Imperial College London, focusing on multi-agent systems and reinforcement learning.