Friday, September 12, 2025
Arthur W. Toga, Ph.D., will present "Data Sharing in the Real World" from 12:00 p.m.–1:00 p.m. EDT.
About the Seminar
Arthur W. Toga, Ph.D. Provost Professor of Ophthalmology, Neurology, Psychiatry and the Behavioral Sciences, Radiology and Biomedical Engineering, director of the USC Mark and Mary Stevens Institute of Neuroimaging and Informatics and director of the Laboratory of Neuro Imaging (LONI)
Dr. Toga’s work involves neuroimaging, informatics, AI applications in neuroscience, mapping brain structure and function, and brain atlasing. His research focuses on neurodegenerative disease and specifically works on Alzheimer’s disease. Funded by the National Institutes of Health (NIH), the Alzheimer’s Association, the Michael J Fox Foundation among others, as well as industry partners, LONI houses one of the larger computing facilities and brain image repositories in the world.
He is an author or co-author of more than 1100 peer-reviewed papers, 1500 abstracts and 80 book chapters or books. He is the founding editor of the journal NeuroImage. Dr. Toga has received numerous awards, including the Pioneer in Medicine Award, Smithsonian Award for Scientific Innovation and Giovanni DiChiro Award for Outstanding Scientific Research. He holds the Ghada Irani chair in Neuroscience and has been one of the world’s top researchers on the AD Scientific Index, Top 200 Best Scientists in Neuroscience on Research.com, and listed as one of Thomson Reuters' and Clarivate Highly Cited Researchers for many years.
About the Seminar Series
The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Allison Hurst at 301-670-4990. Requests should be made at least five days in advance of the event.
The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight examples of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.