A tireless advocate for women in STEM, Prof. Arbel's research lies at the intersection of machine learning, computer vision and medical image analysis. She has built an internationally renowned, multidisciplinary research program where probabilistic machine learning models are developed to address a wide range of medical imaging problems. Her research has led to concrete improvements in patient care, including image analysis services that support multiple sclerosis clinical trials analysis for therapies being developed worldwide. Her work has been recognized through many awards and prizes, including her being named as a Canada CIFAR AI Chair at Mila - Quebec AI Institute.