Office Location: GER 228C
- BA, Computer Science & Mathematics, summa cum laude, Lipscomb University, 2002
- MS, Computer Science, Vanderbilt University, 2004
- MS, PhD, Biophysics, Vanderbilt University, 2007
- Postdoctoral Scholar, Brain Mapping & Neurophysiology, UC San Diego, 2010
- Postdoctoral Scholar, Multimodal Neuroimaging, UCLA, 2013
Andrei Irimia, PhD, is a computational neuroscientist, neurogerontologist, biomedical engineering researcher and biophysicist whose interests cover, in a broad sense, the topics of neural injury, degeneration, plasticity and repair. His research utilizes computational biology approaches and multimodal imaging to study how brain connectivity alterations caused by insults to the brain contribute to connectome reorganization and to cognitive degradation & recovery. A key component of this research is the relationship between brain injury, cerebral amyloid angiopathy, dementia and how these conditions interact with one another. Upon completion of a bachelor’s degree in computer science & mathematics, he was awarded an MS degree in computer science (medical image processing), an MS and a PhD in biophysics (pathophysiology), all from Vanderbilt University. Following postdoctoral studies at UCSD and UCLA, he joined the Keck School of Medicine of USC as a junior faculty member, from where he was recruited by the USC Leonard Davis School of Gerontology, where he is now Assistant Professor of Gerontology and Neuroscience. He has training and expertise in both biomedical as well as electrical engineering systems, and his experience with the segmentation, morphometry and quantitative analysis of neuroimaging data has allowed him and his colleagues to pioneer award-winning approaches for the visualization of the human connectome. These strategies have facilitated contributions to current knowledge on brain networks, neural injury, vascular neuropathology and on neurodegeneration in atypical aging.
Team photo gallery
Anar Amgalan is a postdoctoral scholar working on applications of statistical and network-theoretic methods to the problem of abnormal brain aging, particularly in the context of injury and cognitive impairment. He received his PhD in physics from SUNY Stony Brook and his BS in physics and mathematics from University of Denver.
Nikhil is a doctoral student in biomedical engineering at USC. He has worked on the segmentation of CT scans and on the automatic labeling of CMBs from susceptibility weighted imaging in mTBI patients. He completed his undergraduate majoring in computer science and engineering at VIT University in India, and an MS in computer science at USC.
Nahian is a doctoral student in neuroscience with a background in neuroscience and computer science. He is interested in the structural neuroimaging of traumatic brain injury in older adults, in the longitudinal analysis of brain circuitry using diffusion tensor imaging, as well as in machine learning.
Ammar is a Trustee Scholar and an undergraduate student in neuroscience at USC. His interests include diffusion imaging of superficial white matter lesions after traumatic brain injury.
Benjamin is an undergraduate student in chemical engineering and a presidential scholar at USC. He is interested in diffusion imaging for connectomics of traumatic brain injury and Alzheimer’s disease.
Phoebe Imms is a postdoctoral scholar whose focus is the neural and cognitive outcomes of traumatic brain injury and Alzheimer’s disease. She obtained her PhD in neuropsychology from the Australian Catholic University, and her BScHons from the University of Melbourne.
Roy Massett is a Project Assistant using statistical analyses of brain MRIs to study brain aging in health and disease. He holds a BA in Molecular and Cell Biology and Data Science from UC Berkeley.
Dylan Overby is a presidential scholar majoring in biomedical engineering at USC. He is interested in performing multimodal imaging and developing algorithms to analyze data and study the relationship between aging and traumatic brain injury.
Chur is a Trustee Scholar, Viterbi Fellow, and an undergraduate student majoring in Biomedical Engineering with an emphasis on Electrical Engineering. She is interested in studying the relationship between traumatic brain injuries and physiological changes of the brain with age.
Jessica is an undergraduate student in biomedical engineering at USC. She is interested in neuroimage analysis, traumatic brain injury and Alzheimer’s disease.
Maria Calvillo completed her MA in Experimental Psychology at NYU, focusing on Neuropsychology and Neuroscience. Her interest lies in the cognitive deficits that follow mild traumatic brain injury, as well as in their assessment and their associated neurophysiological correlates.
Michelle Y. Ha
Di completed a graduate degree in computer science and electrical engineering department at USC. While in the laboratory, he used DTI neuroimaging to study white matter connectivity after traumatic brain injury in older adults.
Elliot studied the default mode network and compared this network between healthy controls, Alzheimer’s disease and traumatic brain injury. He completed his degree in neuroscience at USC as a Renaissance Scholar, with minors in astronomy and computer programming. He is now pursuing a graduate degree in computer science at the Virginia Polytechnic Institute.
Jun H. Kim
Jun was an undergraduate student in engineering science at USC. Her research interests included neuroimaging analysis, traumatic brain injury and Alzheimer’s disease.
Sean Lee completed a Master’s Student in Computer Science at the University of Southern California. He studied the applications of advanced statistics and cloud computing on neuroscience workflows.
Hyung Jun ‘Josh’ Lee
Josh was an undergraduate student in applied mathematics at USC. His research interests included using neuroimaging and biomathematical models to quantify biological brain aging in TBI and dementia.
Rachel was an undergraduate student in engineering science at USC. Her interests included neuroimaging analysis, traumatic brain injury and Alzheimer’s disease.
Alex completed his degree in quantitative biology at USC, and has been in the lab since Fall 2017. Currently, his primary focus is on the effects of TBI on the default mode network.
Sean Mahoney completed his BS in Biomedical Engineering at Washington University in St. Louis. He is interested in the effect of traumatic brain injury-caused microbleeds on neurophysiological health. Sean is now in medical school at Midwestern University.
Shai Porat studied the locus coeruleus using structural and functional magnetic resonance imaging as well as the role of this structure in modulating heart rate variability. His training is in psychology, neuroscience and brain imaging. His main adviser is Mara Mather, a professor of Gerontology at the USC Leonard Davis School of Gerontology.
Kenneth Rostowsky is interested in dementia, in mapping longitudinal alterations of older adults’ white matter circuitry caused by brain injury, and in automated segmentation methods. He currently works as a research associate at University of California San Diego School of Medicine.
Shania H. Wang
Shania was a Trustee Scholar who graduated in neuroscience and human biology. She was also a Provost’s scholar and a recipient of a URAP scholarship to pursue research in the Irimia Lab. Her interests included image analysis, diffusion imaging, traumatic brain injury and dementia. She currently works at RapidAI.
Layal graduated in biomedical engineering at USC. Her research interests included neuroimaging analysis, traumatic brain injury and Alzheimer’s disease.