Killian Steunou is a Machine Learning PhD student at Institut Polytechnique de Paris, specializing in computer vision and deep learning. His research focuses on efficient omni-modal learning for video understanding, and he has hands-on industry experience through internships at Idemia, CLS, and JoliBrain, where he worked on multi-object tracking, foundation models for remote sensing, and generative image systems. Killian holds a Master's in Mathematics, Vision & Learning from ENS Paris-Saclay and brings a strong foundation in applied mathematics, open-source development, and reproducible research.