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Ander Biguri is an Assistant Research Professor at the University of Cambridge specializing in applied mathematics, particularly in imaging techniques like tomography. He leads the Computational Applied Tomography (CAT) group within the Cambridge Image Analysis (CIA) group, focusing on the development of mathematical optimization algorithms and computational methods for inverse problems in tomography. His research endeavors are primarily centered around medical imaging, where he applies machine learning and traditional optimization strategies to enhance the capabilities of Cone Beam Computed Tomography (CBCT), general CT, and Positron Emission Tomography. Biguri is a key contributor to the TIGRE toolbox, which simplifies the use of fast optimization algorithms for real CT data. He is also actively developing the LION toolbox, aimed at creating reproducible and reliable data-driven methods for tomographic reconstruction. Moreover, he supervises students at the MPhil and PhD levels and is eager to share his research expertise with those who find it beneficial.
Cambridge Image Analysis (CIA) • Cambridge, UK
Leading research efforts in imaging and mathematics applications, focusing on developing optimization algorithms and computational methods.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.