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Principal Investigator
Principal Investigator
Hosung Kim, Associate Professor
Stevens Institute for Neuroimaging and Informatics
Laboratory of Neuro Imaging (LONI)
Neurology, Neuroscience, Biomedical Engineering
Senior Researchers - Research Associate
Senior Researchers - Research Associate
Yaqiong Chai, PhD: Glymphatic function imaging, Machine Learning/deep learning, image synthesis, brain aging, and Alzheimer’s Disease.
USC- Biomedical Imaging PhD; Chinese Academy of Sciences- Image Informatics MS; Beijing University of Aeronautics and Astronautics- Automation and Electrical Engineering BS
Soonhyun Yook, PhD: Biomedical Signal Processing, deep learning
Effects of hypoxic burden on brain aging, Prediction of brain age using sleep EEG
Neuromodulation, Sleep and neurophysiology of glymphatic function
Gilsoon Park, PhD: Segmentation of brain structures, lesion based deep learning, machine learning, brain age prediction
PhD in BME, Hanyang University
Project Assistants
Project Assistants
Minji Kim: Data harmonization, MRI preprocessing, Supervised Deep Learning, Parkinson's disease
Previous education:
MS in BME, Hanyang University
BS in BME, Hanyang University
Graduate Students
Graduate Students
Cong Zang: Brain age prediction using machine learning/deep learning; MRI, White matter hyperintensity, T1/T2 brain aging, perivascular space
Neuroscience Graduate Program (NGP) PhD Program
Previous education:
USC Keck- Neuroimaging and Informatics, MS;
Southeast University- Electronic Science&Engineering BS
Quanhao Sun:
Generative Model, Deep learning-based medical image/signal motion correction.
Biomedical Engineering (BME) PhD Program
Previous education:
BS in Biomedical Engineering, Southeast University
Raphiporn Duagrat:
Quantitative MRI modeling, Physics-informed deep learning / machine learning, Glymphatic function imaging, Alzheimer's disease
Biomedical Engineering (BME) MS Program
Medical Students
Medical Students
Audrey Yin: Glymphatic function in mid-age women
USC Keck Medical School
Previous Education:
USC Dornsife Undergraduate Neuroscience Program
Research Assistant at NYU
Meghna Nanda: Sleep medicine, neurodegenerative diseases, deep learning
California University of Science and Medicine (M.D expected 2027)
Previous Education:
Duke University (B.S.)
Andrew S Kim: Glymphatic imaging and Perivascular space analysis, Glymphatic dysfunction in Parkinson's disease
University of California, Los Angeles, David Geffen School of Medicine
BS in Health Promotion and Disease Prevention
MS in Medical Gerontology
Undergraduate Students
Undergraduate Students
Christina Choi: Research of interest: Identifying biomarkers present in the prodromal stage of PD through statistical analysis of neuroimaging data,
Main project: MRI Quality Control (CIVET, PVS segmentation), PVS annotation
BS in Neuroscience, USC
Rachel Jung: Research of interest: Blood Brain Barrier and Glymphatic system
BS in Health Promotion and Disease Prevention at Keck Medicine of USC
Royce Smith: menopause-related hormone changes affect glymphatic system function and contribute to increased neurodegenerative disease risk in women
BS in Neuroscience, USC
Yunha Bae: Research of interest: Glymphatic dysfunction in relation to neuropsychological activities and neurodegenerative disease pathology
BS in Psychology at University of California Davis
Abby Trang: Glymphatic dysfunction in relation to cardiovascular disease and dementia
BS in Health Promotion and Disease Prevention
Visiting Clinicians and Scholars
Visiting Clinicians and Scholars
Dae Hyun Kim, MD, PhD: Neurorehabilitation, MRI, and Artificial Intelligence, with a focus on recovery processes and neuroplasticity following brain injury
Associate Professor, Department of Physical Medicine and Rehabilitation, Sungkyunkwan University School of Medicine, Samsung Medical Center
Jin San Lee, MD, PhD: Alzheimer's disease, dementia, multimodal biomarkers
Associate Professor, Department of Neurology, Kyunghee University College of Medicine
Seung Wook Jung, MD, PhD: Stroke, MRI, treatment of stroke
Associate Professor, Department of Neurology, Gyeongsang National University, College of Medicine
Jiwon Hur, PhD: Psychopathology, Psychotherapy, Digital Therapeutics, Nonsucidal self-injury, Poverty
Associate Professor, School of Psychology, Korea University
Mina Park, MD, PhD: Glymphatic imaging, Meningeal lymphatic imaging, and Dementia imaging
Associate Professor, Department of Radiology, Yonsei University College of Medicine, Gangnam Severance Hospital
Alumni
Alumni
Kyungwook, Kang, MD, PhD: Sleep, Epilepsy and Dementia
Fund Associate Professor, Department of Neurology, Chonnam National University Hospital and School of Medicine
Previous education:
MD, Chonnam National University Medical School, Gwangju, Korea
PhD, Chonnam National University Postgraduate School, Gwangju, Korea
Kaitlyn Min: Glymphatic imaging and Perivascular space analysis
BS in Computer Science and Business Administration
Grace Chang: Glymphatic imaging and Perivascular space analysis
BS in Health and Human Sciences
June Lim: Glymphatic imaging, Scientific graphical illustration
BS in Environmental Science and Health, Minor in Painting
Seong-Jun Choi, MD, PhD: Hearing, Vertigo, Hearing AIds, AI, medical device
Professor, Department of Otolaryngology-Head and Neck Surgery, Cheonan Hospital, Soonchunhyang University College of Medicine, akas9238@hanmail.net
.
Previous education:
B.D. Chosun university
M.D. Chosun university
PhD Ajou university
Jung-Won Shin, MD, PhD: Sleep Neurologist, Sleep disorders, REM-sleep disorder, Parkinson's Disease, MRI
Associate Professor, Department of Neurology, CHA University, CHA Bundang Medical Center
Jiyoung Kim, MD, PhD: Headache, Epilepsy, and Sleep
Associate Professor, Department of Neurology, Pusan National University Hospital
Previous education:
School of Medicine, Chosun University, M.D.
Pusan National University Graduate School, Ph.D.
Sherry Yue Du: Pediatric obesity and the relationship to brain development, normative modeling, Biostatistics, Applied Statistics
BSc in Mathematics/Economics
Hedong Zhang: Semisupervised Deep Learning, Pervivascular segmentation
Previous education:
USC Electrical Engineering Master Program
Dalian University of Technology (China) Electrical and Electronic Engineering, BS
Carlos Robles: With a background in software engineering and neuroscience, I'm interested in computational and statistical analysis of neuromaging, specifically with regards to clinical challenges faced in understanding neurodegenerative disorders and cognition.
Post-bac student or research volunteer at USC and Scripps College
Previous Education:
B.A. in Computer Science from Harvard College
Yoon-Sang Oh, MD: Parkinson's Disease, Other movement disorders, dementia
Associate Professor, Department of Neurology, College of Medicine, The Catholic University of Korea
Sharon Y. Kim: Covariance of cortical folding in preterm and term neonates
Medical School, Uniformed Services University, NIH
Yeonsil Moon, MD: Alzheimer's Disease, other dementia
Associate Professor, Department of Neurology, College of Medicine, KunKuk University Medical Center, Seoul
Hyunjin Jo, MD: Sleep Neurologist, Sleep disorders, REM-sleep disorder, Parkinson's Disease, MRI
Seoul Samsung Medical Center
Jiazhi Dai: Activation mapping, Brain age prediction using machine learning/deep learning; Sleep EEG analysis
Electrical Engineering Master Program
Young Seok Choi: Sleep disorders and Electroencephalography
Hanyang University
Julia Pia Simon: MRI-negative temporal lobe epilepsy analysis and machine learning, brain age prediction in Alzheimer disease
USC Keck- Neuroimaging and Informatics, MS; USC- Neuroscience BA, Spanish BA
Claire Park: Sleep disorders, brain age prediction using EEG & MRI
California University of Science and Medicine
Nina Tanaka: Brain age prediction
USC Dornsife-Health and the Human Sciences
Will Matloff: Cochlear subregion segmentation using CNN, Combining neuroimaging, genetic, and clinical data to study neurodegenerative disease
MD-PhD: USC Keck- Medical School & NGP PhD Program
Mengting Liu, PhD: Cortical surface extraction on neonatal brain MRI, brain age prediction, prediction of neurodevelopmental outcome using GCN
Currently Assistant Professor at Southern University of Science and Technology
Chaitanya Gupte: Sleep apnea detection using multimodal Polysomnography
USC EE, MS
Shiyu Yuan: Neurodevelopment, Myelination in preterm and term neonates
USC Leonard Davis School of Gerontology- MSG
Currently PhD Student at Stevens Institute of Technology
Dae Lim Koo, MD: Sleep disorders, Parkinson's disease, REM-sleep behavior disorder
Seoul National University College of Medicine
Knarik Arutyunyan: Covariance of brain morphology in obstructive sleep apnea
USC Keck- Neuroimaging and Informatics MS
Aya Musleh: Hypoxic-ischemic encephalopathy analysis, Neonatal MRI machine learning
Currently at USC Keck- Neuroimaging and Informatics MS
Ben A. Duffy: MRI quality control and motion artifact correction using deep learning, regression activation mapping, brain age prediction
Tasfiya Islam: Sleep/OSA MRI analysis
Currently at USC Keck- Neuroimaging and Informatics MS
Bailin Peng: Brain age prediction
USC Leonard Davis School of Gerontology- MSG; University of Alabama at Tuscaloosa, Biology BS
Mitchell Lee: Cortical thickness in neonates
USC Dornsife Undergraduate Neuroscience Program
Carinna Torgerson: Brain age prediction, Machine learning and diffusion imaging
Neuroscience PhD Candidate, USC; Loyola Marymount University, Psychology BA
Joyce Min: Quality control of cortical surface
Emory University- Anthropology of Human Biology & Computer Science
Sarah Vanloh: Periventricular germinal matrix in neurodevelopment
USC Dornsife Undergraduate Neuroscience Program
Mingdong Cui: Brain morphometry in Parkinson's disease, REM-sleep behavior disorder
USC Leonard Davis School of Gerontology- MSG; Harbin Medical University (HMU)- Clinical Medicine
Clarissa Morales:
Currently at USC Keck- Neuroimaging and Informatics MS; Vanderbilt University, Neuroscience BA
Maria Diaz: Graph-based convolutional neural network (GCN), brain age prediction
CSUF Computer Science & mathematics
Armin Bazarjani: GRAPH and Identity GAN, neurodegeneration detection through machine learning
USC Viterbi- Electrical Engineering (currently in BS, future MS candidate)
Sung Bin Kim:
USC Dornsife Undergraduate Neuroscience Program; USC Viterbi- Computer Science
Haoteng Tang: LONI-QC (MRI quality control), evaluation of MRI quality
Currently at University of Pittsburgh- PhD candidate; USC Viterbi Biomedical Engineering, MS
Zhe Jessie Sun: Machine learning in postlingual deafness and cochlear implant
Currently at NYU- PhD candidate; USC Keck- Neuroimaging and Informatics, MS
Mengjia Hu: Cortical thickness morphometry in Parkinson's disease
USC Leonard Davis School of Gerontology- MSG
Ishaan Batta: Brain regional age prediction Currently at Georgia Tech - Electrical and Computer Engineering PhD candidate
Sravani Anne: Deep learning of polysomnography data to detect sleep apnea events
Currently at Amazon
Wesley Surento: High-resolution image reconstruction using CNN
Currently at USC- Imaging Genetics Center
Feifei Xu: Cortical thickness and covariance on postmortem fetal brain MRI
Currently at Shandong University, PhD candidate
Zixi Huang: Cortical thickness morphometry in Parkinson's disease
Justin Kim: Quality control of NEOCIVET, cortical thickness in neonates
Currently at NYU
Eugene Lee: Segmentation of neonatal hippocampus, hippocampal development
UCLA, Biology
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