Carl Saab

Carl Saab is an Adjunct Professor of Engineering at Brown University's School of Engineering. His research focuses on neurophysiological mechanisms of pain and sleep, leveraging machine learning, quantum computing, and advanced neuroimaging techniques. He explores biomarker discovery for chronic conditions like neuropathic pain and migraine, and develops innovative treatments such as spinal cord stimulation protocols.

Education details are not explicitly provided in the text, but his extensive publication record indicates expertise in neuroscience, biomedical engineering, and computational biology. His work bridges clinical applications and technological innovation, addressing challenges in pain management, sleep medicine, and neurological disorders.

Research interests include:

• Neuropathic pain mechanisms and therapies
• Sleep-disordered breathing and cardiovascular risk stratification
• Machine learning in biomarker identification
• Quantum computing's role in multi-factorial disease analysis
• EEG/EMG-based pain assessment systems

Recent publications emphasize foundational models for clinical decision-making, spinal cord stimulation efficacy, and migraine neurophysiology. Though awards are not listed, his prolific output suggests significant contributions to translational neuroscience. Advising and grant details are not specified, but his work likely involves interdisciplinary collaborations across engineering and medical fields.