The LONI Resource is administered by a competent and experienced team of investigators and staff, and counseled by an expert panel of scientists, the Scientific Advisory Board.


Arthur Toga, Principal Investigator
Dr. Toga is the director of USC's Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (LONI), as well as Provost Professor of ophthalmology, neurology, psychiatry and the behavioral sciences, radiology, and engineering at the Keck School of Medicine of USC. He has developed sophisticated tools for brain atlasing, multidimensional modeling, and visualization. His lab also coordinates multi-site acquisition, analysis, and dissemination of data with national and international collaborators.
Neda Jahanshad, Co-Investigator
Dr. Jahanshad is an assistant professor of neurology at USC's Stevens Neuroimaging and Informatics Institute. She studies how genetic variation influences brain structure and connectivity, and develops protocols for large-scale meta analyses of imaging data for the Enhancing Neuro Imaging Genetics Through Meta-Analysis (ENIGMA) consortium.
Scott Neu, Software Developer
Dr. Neu is an assistant professor of research at USC's Stevens Neuroimaging and Informatics Institute. He has more than ten years of experience in numerical methods and simulation, as well as the design and development of image processing and medical informatics software. In his current role, Dr. Neu develops comprehensive software architecture for LONI.
Carl Kesselman, Co-Investigator
Dr. Kesselman is the director of the informatics division of USC'S Information Sciences Institute and professor of industrial and systems engineering. He is an internationally recognized leader in large-scale distributed infrastructure, including serving as principal investigator of the Biomedical Informatics Research Network.
Hosung Kim, Co-Investigator
Dr. Kim is an assistant professor of neurology at USC's Stevens Neuroimaging and Informatics Institute. In the domains of neurology and neuropsychiatry, he has analyzed brain structural change over time in both healthy and pathological conditions. Dr. Kim also researches medical image processing and analysis.
Yonggang Shi, Project Lead
Dr. Shi is an assistant professor of neurology and electrical engineering at USC's Stevens Neuroimaging and Informatics Institute. Through his research, he aims to develop novel mathematical frameworks and algorithms for mapping brain structure and function, with a focus on using intrinsic geometry in surface mapping algorithms.
Paul Thompson, Principal Investigator
Dr. Thompson is director of the Imaging Genetics Center (IGC), associate director of USC's Stevens Neuroimaging and Informatics Institute, and associate dean for research at the Keck School of Medicine of USC. He is also a professor of neurology, psychiatry and the behavioral sciences, engineering, pediatrics, and ophthalmology. Dr. Thompson's research focuses on the neuroscience, mathematics, and algorithm development of brain imaging and mapping. He co-founded and directs the Enhancing Neuro Imaging Genetics Through Meta-Analysis (ENIGMA) consortium, a worldwide medical network of institutes studying the brain's major diseases.
John Van Horn, Co-Investigator
Dr. Van Horn is an associate professor of neurology, neuroscience, and engineering at USC's Stevens Neuroimaging and Informatics Institute. His research includes multi-modal analysis of healthy and clinical populations, large-scale data processing, informatics, and data sharing. He directs the Big Data to Knowledge (BD2K) Training Coordinating Center at USC.


Karen Crawford, Data Manager
Ms. Crawford received her Master of Library and Information Science degree from UCLA. At LONI, she plans and develops database and software applications, which support medical imaging and general laboratory operations. She has expertise with database management systems and the development of informatics systems
Grace Liang-Franco, Project Coordinator
Ms. Liang-Franco received her Master of Business Administration degree from Pepperdine University, and has extensive experience with executive-level administration. Her contributions to the Resource will include planning and execution of meetings and workshops, as well as coordinating publications and other logistics.
Dogu Aydogan, Postdoctoral Fellow
Dr. Aydogan received his Ph.D. in biomedical engineering from Finland's Tampere University of Technology in 2014. At LONI, he develops novel brain connectivity tools for multi-shell diffusion MRI, including a new algorithm for topography-preserving tractography, for which he won the 2016 MICCAI Young Scientist Award.
Tyler Ard, Research Associate
Dr. Ard received his Ph.D. in neuroscience from Brown University in 2013. His current focus is to improve the understanding of neuroscientific data through novel visualizations, with an emphasis on analyzing large-scale, high-dimensional data.
Ryan Cabeen, Postdoctoral Fellow
Dr. Cabeen received his Ph.D. in computer science from Brown University in 2016. His doctoral research focused on the development and evaluation of computational tools for using diffusion MRI to study white matter in the brain, for which he received the Brown Institute for Brain Science Graduate Research Award.
Rita Esquivel, Project Assistant
Ms. Esquivel will apply her management expertise to the Resource by coordinating and managing data upload and download activities; she will also provide support and guidance to study site personnel and researchers as needed.
Samuel Hobel, Programmer
Mr. Hobel will apply his programming expertise to the development, integration, and support of collaborative neuroinformatics software tools. He will design, build, test, and debug components of neuroinformatics software.
Randy Lovin, Systems Administrator
Mr. Lovin has extensive experience with information systems support, as well as implementation and design. His specialties include SMP and cluster computing architectures, high-bandwidth networking, and designing and implementing fault-tolerant storage.
James Stanis, Web Developer
Mr. Stanis received his Master of Biomedical Visualization degree from University of Illinois at Chicago. His experience as a scientific visualizer and 3D medical animator enable him to contribute novel visualization components to the Resource.
Lu Zhao, Postdoctoral Fellow
Dr. Zhao received his Ph.D. in signal processing from Finland's Tampere University of Technology in 2010. At LONI, he develops and applies big data discovery methods for linking the genetics of brain changes to major neurodevelopmental and neurodegenerative disorders. He has led the development of numerous advanced tools to extract and manage large volumes of genomic and neuroimaging data.


Michael J. Cherry
Professor (Research) of Genetics
Stanford University
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Tom Nichols
Professor of Neuroimaging Statistics,
Nuffield Department of Population Health
University of Oxford
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James Duncan
Ebenezer K. Hunt Professor of Biomedical Engineering
Professor of Diagnostic Radiology and of Electrical Engineering
Director of Undergraduate Studies in Biomedical Engineering
Vice Chair, Bioimaging Sciences in the Department of Diagnostic Radiology
Yale University
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Olaf Sporns
Provost Professor
Computational Cognitive Neuroscience Lab
Indiana University
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Guido Gerig
Institute Professor
Computer Science & Engineering
NYU Polytechnic School of Engineering
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Scott Grafton
Professor, Psychological and Brain Sciences
Neuroscience Research Institute
University of California, Santa Barbara
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