Chang receives Early Career Award for advancing fMRI data analysis
Catie Chang has received the 2019 Early Career Achievement Award from a society of the Institute of Electrical and Electronics Engineers.
Chang, an assistant professor of computer science, electrical engineering and computer engineering, was honored this week at the IEEE Engineering in Medicine & Biology Society conference. Specifically, the award cites her “innovative contributions to human functional neuroimaging research that have advanced the interpretation and analysis of fMRI data.”
She is a core faculty member of both the Vanderbilt University Institute of Imaging Science and the Vanderbilt Institute for Surgery and Engineering. Her Neuroimaging and Brain Dynamics Lab focuses on advancing the understanding of human brain function in health and disease.
Lab members develop new approaches for studying human brain activity by integrating functional neuroimaging, including fMRI and EEG, and computational analysis techniques.
The EMBS Early Career Achievement Award includes an honorarium and is awarded for significant contributions to the field of biomedical engineering as evidenced by innovative research design, product development, patents, and/or publications made by an individual who is within 10 years of completing their highest degree at the time of the nomination.
Chang, who received her Ph.D. in Electrical Engineering from Stanford University in the Radiological Sciences Lab, had been a Postdoctoral Fellow and Research Fellow at the National Institute of Neurological Disorders and Stroke (NIH Intramural Research), in the Advanced MRI Section.
She joined the School of Engineering faculty in August 2018.