Yilin Liu is a PhD computer science student and graduate research assistant at UNC-Chapel Hill with nine years of experience applying deep learning to image reconstruction and inverse problems, currently focused on self-supervised methods for accelerated MRI. She has industry research experience from Siemens Healthineers and a strong neuroscience grounding from a BS in Neuroscience at UW–Madison, which informs her work on medical imaging and tiny subcortical structure segmentation. Yilin blends theoretical understanding and practical system-building, publishing and coding work available through her personal homepage and GitHub. Her background uniquely combines neuroscience domain knowledge with advanced machine learning techniques to tackle clinically relevant imaging challenges.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
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