معرفی
Dr. Geena Kim is an Adjunct Professor in the Department of Computer Science at the University of Colorado and a Research Scientist at Amazon. She holds a PhD from UC Berkeley and has extensive experience as an entrepreneur and technical advisor in IoT startups in the Bay Area. Prior to CU, she taught in the MS Data Science program at Regis University.
Her research focuses on deep learning, computer vision, and medical image analysis, with notable contributions to brain tumor segmentation using neural networks, predictive analytics in cardiology, and standards for quantitative MRI. Her earlier work explored atom interferometry and gravitational physics, including experiments with lithium atoms to test fundamental principles like the equivalence principle.
Dr. Kim's publications span medical AI applications, precision imaging techniques, and quantum sensor development. Her work bridges computational methods with healthcare applications, emphasizing clinical translation of machine learning models.
She has no listed advisory roles or grants mentioned in the provided materials.
