Benjamin Lambert

Benjamin Lambert is currently a Machine Learning Scientific Officer at Pixyl, where they are involved in the research and development of medical image analysis software using deep learning techniques. Benjamin has been active in the field of deep learning since 2019 and completed their Ph.D. in 2024, with a focus on quantifying and understanding uncertainty in deep learning for medical image segmentation. Their research includes topics such as uncertainty quantification, robustness, and image synthesis. Prior to their current role, Benjamin held positions as a Research Engineer and as an intern at AMC and CHU Amiens-Picardie, where they applied deep learning to medical imaging challenges.