LONI - Key Persons
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- Member of the Previous GROUP
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- Graduate Student Researcher
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- Data Management Coordinator
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- Member of the Previous GROUP
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- Member of the Previous GROUP
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- Graduate Student Researcher
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- Graduate Student Researcher
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- Member of the Previous GROUP
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- Assistant Professor
- Member of the Previous GROUP
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- Director
- Director, USC Mark and Mary Stevens Neuroimaging and Informatics Institut
Dr. Toga's research focuses on neuroimaging, informatics, mapping brain structure and function, and brain atlasing. He has developed multimodal imaging and data aggregation strategies and applied them in a variety of neurological diseases and psychiatric disorders, including neurodegenerative diseases, neurovascular diseases, and ocular diseases. His work in informatics includes the development and implementation of some of the largest and most widely used databases and data mining tools linking disparate data from genetics, imaging, clinical, and behavioral studies, and supporting global efforts in Alzheimer's disease, Huntington's Disease, and Parkinson's Disease. His work also involves measurement of the dynamic brain during development and aging, and as a result of insult.
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- Graduate Research Assistant
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- Member of the Previous GROUP
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- Senior Scientific Graphic Designer
Education
2013: M.S. in Biomedical Visualization, University of Illinois at Chicago
1993: B.A. in Sociology, Minors in Music and Science, University of California, San Diego
Experience
3 years Biomedical Visualization for Aerospace Research and Education
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- Member of the Previous GROUP
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- Postdoctoral Scholar - Research Associate
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- Postdoctoral Scholar - Research Associate
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- Associate Research Administrator
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- Professor of Neurology and Radiology, Director of Imaging Technology Innovation
Dr. Wang runs the Laboratory of Functional MRI Technology (LOFT), where he develops techniques and clinical translations of arterial spin labeling (ASL) and performs cross-scale and modality complexity analysis of resting state fMRI and electrophysiology data. Dr. Wang leads projects to develop and validate imaging biomarkers of cerebral small vessel diseases (cSVD) and vascular cognitive impairment and dementia (VCID). He also researches electric current mapping of transcranial direct current stimulation (tDCS). Another current project involves the development of low-dose CT perfusion technology, which may help significantly reduce radiation exposure without compromising image quality.
Education
2010: M.S.C.E. in Clinical Epidemiology, University of Pennsylvania School of Medicine
1998: Ph.D. in Biophysics, University of Science and Technology of China
1993: B.S. in Biophysics, Fu Dan University
Experience
2016 - present: Professor, Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA
2016 - present: Director of Imaging Technology Innovation, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
2016 - present: Professor (secondary), Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA
2012 - 2016: Executive Director, UCLA-Beijing Joint Center for Advanced Brain Imaging
2015 - 2016: Professor-in-Residence (secondary), Department of Radiology, UCLA David Geffen School of Medicine
2015 - 2016: Professor-in-Residence, Department of Neurology, UCLA David Geffen School of Medicine
2011 - 2015: Associate Professor-in-Residence (secondary), Department of Radiology, UCLA David Geffen School of Medicine
2010 - 2015: Associate Professor-in-Residence, Department of Neurology, UCLA David Geffen School of Medicine
Education
2002: B.S. in Computer Science, UCLA
Postdoctoral Fellows
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- Senior Research Administrative Director
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- Assistant Professor of Neurology
Dr. Duncan's expertise lies in the development of analytical tools to extract information from biomedical data. Both her Ph.D. and postdoctoral research used EEG data to isolate patterns indicating the onset of epileptic seizures. She has worked on developing algorithms, such as Unsupervised Diffusion Component Analysis, to identify early signs of Alzheimer's disease in patients using structural MRI data. Her recent projects include identifying biomarkers to predict epilepsy following a traumatic brain injury and using Virtual Reality to improve segmentation, a manual error-correction process required to analyze brain imaging data.
Education
2013: Ph.D. in Electrical Engineering, Yale University
2007: B.S. in Mathematics and Polish Literature, University of Chicago
Job Titles:
- Associate Director
- Director
- Professor
- Professor of Neurology
Associate Director, Mary and Mark Stevens Neuroimaging and Informatics Institute Director, Imaging Genetics Center Professor of Ophthalmology, Neurology, Psychiatry and the Behavioral Sciences, Radiology, Pediatrics and Engineering
thompson@loni.usc.edu
Dr. Thompson's primary focus is imaging genetics, the study of how individual genetic differences lead to differences in brain wiring, structure, and intellectual function. He co-founded a worldwide imaging genetics consortium, ENIGMA, which studies 22 brain diseases in 37 countries, and has published the largest-ever neuroimaging studies of schizophrenia, major depression, bipolar disorder, and obsessive-compulsive disorder. Other research pursuits include developing new computational algorithms for neuroimaging, dynamic (4D) brain mapping, creation of a probabilistic atlas of the human brain and cortex, and creation of population-based atlases for Alzheimer's Disease, Schizophrenia, and other disorders.
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- Data Management Coordinator
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- Graduate Research Assistant
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- Postdoctoral Scholar - Research Associate
Education
2018: M.D., Tehran University of Medical Sciences (Iran)
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- Postdoctoral Scholar - Research Associate
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- Assistant Professor of Neurology
Dr. Kim's research spans an interdisciplinary cross-section of medical image processing, machine learning and neuroscience, covering both clinical neurology and neuropsychiatry. He studies multicontrast image registration and segmentation as well as surface modeling of both cortical and subcortical structures. One of his current projects involves the prediction of neurodevelopmental outcomes for preterm babies. He is also developing an online neuroimaging data quality control (image QC) system.
Education
2016: Postdoctoral Fellowship in Imaging of Neurodevelopment, UC San Francisco
2012: Ph.D. in Biomedical Engineering (specialty: brain image analysis), McGill University
2011: Ph.D. in Biomedical Engineering, Montreal Neurological Institute, McGill University
2003: M.S. in Biomedical Engineering, Hanyang University
Education
2007: M.S. in Biomedical Visualization, University of Illinois at Chicago
2001: B.A. in Studio Arts, Columbia College Chicago
Experience
2007 - 2014: Scientific Visualizer/3D Medical Animator, TheVisualMD.com (formerly known as Anatomical Travelogue)
Job Titles:
- Home Department Payroll / Personnel Coordinator I / Jane.Lee@Loni.Usc.Edu
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- Systems Administrator
- System Administration
Education
2016: Ph.D. in Biomedical Engineering and Neuroscience, University of Queensland
2010: M.Sc. in Information Technology Engineering & Signal Processing, Sharif University of Technology
2008: B.Sc. in Information Technology Engineering, Sharif University of Technology
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- Graduate Student Researcher
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- Member of the Previous GROUP
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- Postdoctoral Scholar - Research Associate
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- Postdoctoral Scholar - Research Associate
Dr. Jann develops analytical tools and clinical translations of functional MRI technology. He studies the relationship between functional connectivity, complexity and metabolism of brain networks. His multimodal approach involves a combination of fMRI, connectivity measures, cerebral blood flow, Transcranial Magnetic Stimulation (TMS) excitation and inhibition, and Magnetic Resonance Spectroscopy (MRS). He is also exploring the use of neuromodulation, such as TMS, in the treatment of various neuropsychiatric disorders.
Education
2009: Ph.D. in the Faculties of Medicine, Science and Veterinary Medicine, University of Bern
Job Titles:
- Member of the Previous GROUP
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- Postdoctoral Scholar - Research Associate
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- Member of the Previous GROUP
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- Instructor of Research Neurology
Education
2016: Ph.D. in Psychology-Behavioral Neuroscience, University of Missouri St. Louis
2014: M.A. in Psychology, University of Missouri St. Louis
2011: B.L.S. in Psychology and Writing, University of Missouri St. Louis
Job Titles:
- Postdoctoral Scholar - Research Associate
Education
2017: Ph.D. in Neuroimaging, King's College London
2006: M.S. in Aerospace Engineering, University of Maryland
2004: B.S. in Electrical Engineering, Johns Hopkins University
Job Titles:
- Assistant Research Administrator
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- Research Lab Technician II
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- Graduate Student Researcher
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- Assistant Professor of Neurology
Dr. Braskie's research evaluates how genetic and environmental risk factors for Alzheimer's Disease (AD) relate to brain structure, function, and connectivity throughout adulthood, with an emphasis on metabolic risk. She primarily studies cognitively intact adults and those with early mild cognitive impairment, studying how AD risk-related biological mechanisms and signaling pathways are associated with brain changes, using relevant blood and cerebrospinal fluid measures, as well as multimodal imaging (structural and functional MRI, diffusion tensor imaging, and PET).
Job Titles:
- Assistant Professor of Physiology and Neuroscienc
Dr. Bienkowski's research focuses on the relationship between anatomy, genetics, and function within brain regions involved in memory and emotion. His scientific goals are to identify the structural organization of neural networks, then dissect the functional role of specific network circuits to understand how the circuits cooperate to produce animal behavior.
Education
2012: Ph.D. in Neuroscience, University of Pittsburgh
2007: B.S. in Neuroscience, University of Pittsburgh
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- Biomedical Engineer
- Member of the Previous GROUP
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- Project Specialist - Administrativ
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- Member of the Previous GROUP
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- Associate Professor of Neurology
Education
2017: M.S. in Neuroimaging and Informatics, USC
2009: M.S. in Biology-Microbiology, Azad University
2005: B.S. in Cellular and Molecular Biology-Microbiology, Azad University
Experience
Neuroimaging, brain mapping, cell typing, neurodegenerative disease (AD, blinding disorders)
Job Titles:
- Member of the Previous GROUP
Education
2018: Ph.D. in Electrical Engineering, Ohio University
2013: M.S. in Electrical Engineering, Ohio University
Experience
2018 - 2020: Post-doctoral Scholar, UCLA
2015: Software Engineer PhD Intern, Dermspectra LLC
2014: Image Processing Intern, Intel
Job Titles:
- Clinical Radiology and CIA Medical Director
Together with Dr. Paul Thompson at the Imaging Genetics Center, Dr. Rajagopalan works on brain mapping and assisting deep learning methods to understand brain structure in healthy aging and neurodegenerative diseases, including Alzheimer's dementia.
Education
M.P.H. Epidemiology, University of California, Berkeley
M.B.B.S. Kamineni Institute of Medical Sciences, NTR University of Health Sciences, India
Experience
2021 - present: Assistant Professor Clinical Radiology, Keck School of Medicine of USC, Los Angeles, California, USA
2021 - present: Assistant Program Director, Neuroradiology Fellowship, Keck School of Medicine of USC, Los Angeles, California, USA
2021 - present: Medical Director, Center for Image Acquisition, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA
2020 - 2021: Clinical Instructor, Neuroradiology, University of California, San Francisco, California, USA
Job Titles:
- Administrative Assistant I
Job Titles:
- Member of the Previous GROUP
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- Administrative Assistant, NIIN
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- Graduate Student Researcher
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- Graduate Student Researcher
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- Postdoctoral Scholar - Research Associate
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- Senior Business Officer II, Financ
Job Titles:
- Postdoctoral Scholar - Research Associate
Education
2018: Ph.D. in Electrical and Electronics Engineering, Bilkent University
2011: M.S. in Electrical and Electronics Engineering, Bilkent University
2009: B.S. in Electronics Engineering, Faith University
Education
2012: M.S. in Computer Science, University of Houston-Clear Lake
2009: Bachelors Degree in Computer Engineering, K.K. Wagh I.E.E.R., University of Pune
Job Titles:
- Member of the Previous GROUP
Job Titles:
- Postdoctoral Scholar - Research Associate
Education
2019: M.S. in Electrical Engineering, University of Southern California
2017: B.E. in Electronics Engineering, Gujarat Technological University
Education
2012: Ph.D. in Experimental Psychology, University of California, San Diego
2005: M.A. in Research Psychology, California State University, Los Angeles
2001: B.A. in Psychology, University of California, Los Angeles
Experience
2012 - 2017: Post Doctoral Fellow, University of California San Diego
Dr. Ard aims to improve scientists' understanding of neuroscientific data through novel visualizations, enabling human insight into highly complex datasets. Before joining LONI, he worked with USC's Institute for Creative Technologies (ICT), where he mastered Virtual Reality techniques which he now applies to neuroimaging data.
Education
2013: Ph.D. in Neuroscience, Brown University
2006: B.A. in Psychology, University of Colorado Boulder
Job Titles:
- Assistant Professor
- Assistant Professor of Research Radiology at the USC Stevens Neuroimaging
Dr. Shao is Assistant Professor of Research Radiology at the USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine USC. His research focuses on developing ASL sequences with high spatial/temporal resolution. Currently Dr. Shao is working on a novel MR pulse sequence and modeling algorithm to quantify the water exchange rate (kw) across the blood-brain barrier (BBB) without contrast, and to evaluate its clinical utility in a range of neurological disorders including cerebral small vessel disease (SVD), Alzheimer's Diseases (AD), etc. Dr. Shao is also working on high resolution 7T ASL to quantify layer-dependent CBF and obtain concurrent measurement of CBV, BOLD and CMRO2.
Job Titles:
- Graduate Student Researcher
Job Titles:
- Member of the Previous GROUP