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Lawrence H. Staib is a Professor of Biomedical Engineering at Yale University, with additional appointments in the Departments of Electrical & Computer Engineering and Radiology & Biomedical Imaging. He holds a Ph.D. from Yale University and focuses on automated medical image analysis, model-based image segmentation, and nonrigid registration methods. His research interests extend to machine learning and its applications in neuroscience, cardiology, and cancer, specifically in the characterization of structural connectivity and functional magnetic resonance imaging. His notable contributions include advancements in diffusion tensor imaging and low-dimensional non-rigid image registration using statistical deformation models. In recognition of his work, he was named a Fellow of the American Institute for Medical and Biological Engineering in 2015. Throughout his career, he has published extensively in prestigious journals, making significant strides in improving medical imaging techniques. His work aims to enhance the accuracy and reliability of imaging technologies, thereby impacting clinical practices.
Yale University • New Haven, CT
Professor of Biomedical Engineering with additional appointments in other departments.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.