Computing Systems for Data-Driven Science
Jiook Cha is an assistant professor in the Division of Child and Adolescent Psychiatry, the Department of Psychiatry at Columbia University Irving Medical Center. He did postdoc training in the same division and NIMH-funded (T32) postdoctoral fellowship for eating disorder in the same department. He did his Ph.D. in Neuroscience at State University of New York at Stony Brook in the Department of Biomedical Engineering. He received NIMH-Career Development Award (K01), Columbia University Career Development Grant (K12), Young Investigator Awards from Brain and Behavior Research Foundation (BBRF), International College of Neuropsychopharmacology (ICNP), and Korean-American Scientists and Engineers Association (KSEA), and travel fellowships at major conferences (ACNP, SOBP, SFN, ADAA).
Jiook is interested in translational human brain imaging research in psychiatric and neurological diseases. Jiook is particularly interested in application of scalable machine learning to noninvasive, multimodal brain imaging (e.g., MRI and PET) to find brain targets of diseases or to predict clinical outcomes. Collaborating with experts of machine learning and high performance computing and using nation-wide supercomputers, Jiook seeks for better ways of High Performance Data Analytics in healthcare research.