Dr. Fabien Scalzo stands as a distinguished academic leader at the intersection of artificial intelligence and neuroscience. He currently serves as Associate Professor of Computer Science and Director of the W.M. Keck Data Science Institute at Pepperdine University, where he shapes the next generation of data science education and research. Concurrently, he holds an adjunct position as Associate Professor in Neurology and Computer Science at the University of California, Los Angeles, where he directs the AI in Imaging and Neuroscience Research Laboratory. His academic journey began with doctoral studies in Computer Vision and Machine Learning at the University of Liège in Belgium, followed by post-doctoral research in Biomedical Engineering, establishing the foundation for his interdisciplinary approach to complex medical challenges.
Dr. Scalzo's pioneering research has transformed the application of machine learning to neurological disorders, particularly stroke and traumatic brain injuries, through sophisticated analysis of multimodal brain imaging and biosignals. His laboratory develops innovative Computer Vision and Machine Learning algorithms that enable precise brain mapping using diverse imaging modalities including MR, CT, X-ray angiography, transcranial Doppler, and intracranial pressure monitoring. This work has significantly advanced clinical decision-making by allowing computers to identify critical patterns through retrospective analysis of hundreds of patient outcomes, a capability that was controversial in stroke management just a decade ago. His insights into how AI algorithms function have fostered greater clinical trust in these systems, bridging the gap between computational innovation and practical medical applications.
Beyond his technical contributions, Dr. Scalzo plays a vital role in translating AI research into tangible healthcare improvements through both academic and commercial channels, including his work as Senior AI Scientist at Hura Imaging which develops novel CT technology to reduce radiation exposure in patient management. His leadership in establishing frameworks for understanding neurological disorders through imaging has positioned him at the forefront of the AI-in-medicine movement, where he continues to advocate for transparent, interpretable algorithms that clinicians can trust. As the field evolves toward more sophisticated integration of artificial intelligence in diagnostic and therapeutic pathways, Dr. Scalzo's work remains instrumental in defining best practices for medical AI development and deployment. His ongoing research seeks to further refine these approaches, ensuring that artificial intelligence serves as a powerful tool for enhancing patient outcomes in neurological care.
