Research Interests
Magnetic Resonance Imaging (MRI); Magnetic Resonance Spectroscopy (MRS); MRS metabolite quantification; computer vision; MR clinical applications; neurodegeneration
Biography
Kay Igwe is a doctoral student who has done computational neuroimaging research, where she was focused on creating algorithms for the detection of Alzheimer's Disease (AD) biomarkers in neuroimaging. Kay has worked and conducted research in the areas of software automation, analog and digital hardware design, software development, nano- and microfabrication, neural recording devices, and amplifier design.
Pronouns: she/her
Education & Training
PhD in Biomedical Engineering, Columbia University,
School of Engineering and Applied Science (2022-)
MSc in Electrical Engineering, Columbia University,
School of Engineering and Applied Science (2016)
BSc in Electrical Engineering, Texas Tech University, College of Engineering (2014)
Honors & Recognition
Tesla Scholar
Columbia University Fu Foundation School of Engineering and Applied Science, New York, United States (2014-2016)
Select Publications
Igwe, K. C., Lao, P. J., Vorburger, R. S., Banerjee, A., Rivera, A., Chesebro, A., Laing, K., Manly, J. J., & Brickman, A. M. (2022). Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging. Magnetic Resonance Imaging 85: 71–79.
Contact
Email: kci2104 [at] columbia [dot] edu