Badr Ait Hammou is a postdoctoral researcher at the intersection of Artificial intelligence (AI) and neuroscience. His current research focuses on machine learning, data-driven analysis techniques for large-scale biomedical datasets. Before joining the lab, he worked as a postdoctoral researcher at the University of Montreal, where he conducted research on deep learning techniques to solve a variety of medical computer vision problems applied to Ophthalmology, including video action recognition, image generation, and image classification. He completed a Ph.D. in Computer Science at Mohammed V University in Rabat. His doctoral work lies in the area of AI for Big Data analytics. It covers a set of intelligent systems based on distributed machine learning, distributed deep learning techniques, and natural language processing (NLP) to solve several challenges related to real-world problems in the context of big data, such as personalized recommendations, group recommendations, and real-time social media analysis.