Thompson, Paul
Paul Thompson is a Professor in the Keck School of Medicine of USC. His team’s research projects focus on the neuroscience, mathematics, computer science, software engineering and clinical aspects of neuroimaging and brain mapping. Honored with the 2023 Pioneer in Medicine Award of the Society of Brain Mapping and Therapeutics, and the U.S. Alzheimer Association’s Zenith Award, Paul Thompson directs the ENIGMA Consortium, a global alliance of 2500 scientists in 47 countries who conduct the largest studies of 30 major brain diseases – ranging from Parkinson’s disease, anorexia, schizophrenia, depression, ADHD, bipolar illness and OCD, to HIV and addictions and their effects in the brain. ENIGMA’s genomic screens of over 70,000 people’s brain scans and genome-wide data (published in Nature Genetics, 2012; Nature, 2015; Science, 2020) have brought together experts from 300 institutions to unearth over 500 genetic variants that affect brain structure, disease risk, and brain connectivity. At USC, Dr. Thompson is a Professor of Neurology, Psychiatry, Radiology, Pediatrics, Engineering, and Ophthalmology, and Director of the ENIGMA Center for Worldwide Medicine, Imaging & Genomics – a $11M NIH Center of Excellence in Big Data Computing. Using worldwide medication screens, ENIGMA discovers factors that affect progression of Alzheimer’s disease and other dementias, schizophrenia, depression and childhood brain disorders. Dr. Thompson also directs AI4AD – an $18M NIH Initiative on AI methods to accelerate Alzheimer’s disease research, discovering novel treatment targets; he directs the India ENIGMA Initiative – large-scale study of brain aging in India. He directs the USC Imaging Genetics Center – a group of 50 scientists in Marina del Rey. His team created the first maps of Alzheimer’s disease and schizophrenia spreading in the living brain, and a method to track brain growth in children. Dr. Thompson has an M.A. in mathematics and Greek and Latin Languages from Oxford University, and a PhD in neuroscience from UCLA.
Valero-Cuevas, Francisco
Our laboratory is dedicated to understanding the biomechanics, neuromuscular control, and clinical rehabilitation of human mobility, with an emphasis on translation to robotics and Artificial Intelligence. Towards this end, we employ a synergy of experimental and theoretical techniques. Our diverse experimental arsenal ranges from physiological recordings, computational models, machine learning, and neuromorphic computing. These procedures in turn inform theoretical work and devices to restore sensorimotor function for rehabilitation, and create neuro-inspired robots, circuits, and algorithms.
Yassine, Hussein
We study how APOE4 increases the risk of AD through cell, animal and imaging models and in human clinical trials.
