People

GER1902-sdk-3221

Contact:

Email: irimia@usc.edu
Office Location: GER 228C

Andrei Irimia, PhD

Assistant Professor of Gerontology
Principal Investigator

Education

  • 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

Overview

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.

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Members

Maria Calvillo

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.

Nikhil Chaudhari

Nikhil Chaudhari has worked on projects with segmented CT scans to perform a cross-sectional analysis of brain atrophy rates in an aging population and 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 he is currently pursuing a master’s degree in Computer Science at USC.

Nahian Chowdhury

Nahian Chowdhury is an undergraduate student 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.

Di Fan

Di Fan is a graduate in the computer science and electrical engineering department at USC. He researches DTI neuroimaging and white matter connectivity of traumatic brain injury in older adults by using machine learning and computer vision analysis methods.

Elliot Jacobs

Elliot Jacobs is working on studying the default mode network and looking at comparisons in the network between control, Alzheimer’s and traumatic brain injury patients. He is a junior majoring in neuroscience with minors in astronomy and computer programming.

Alexander Maher

Alexander Maher is a junior studying Quantitative Biology, and has been in the lab since Fall 2017. Currently, his primary focus is on the effects of various pathology on the default mode network.

Sean Mahoney

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.

Shai Porat

Shai Porat studies 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

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.

Alumni

Sean Lee

Sean Lee has a background in bioengineering from the University of California, San Diego. He is currently a Master’s Student in Computer Science at the University of Southern California. He studies the applications of advanced statistics and cloud computing on neuroscience workflows.