Dr. John Wright

Biography

John Wright is an Associate Professor in the Department of Applied Physics and Applied Mathematics at Columbia University. With a robust academic background that includes a BS in Computer Engineering, an MS, and a PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign, he specializes in high-dimensional data analysis, signal processing, optimization, and computer vision. His research is particularly focused on the challenges posed by massive datasets, which are increasingly common in various fields including science and health. Wright's work addresses the complications arising from high-dimensional datasets such as noise, missing data, and corruptions, developing algorithms and theories that recover low-complexity models from compromised observations. He has made significant contributions to the understanding and practical application of estimation in noisy environments. Additionally, he has worked on sparse dictionary learning and nonconvex optimization, collaborating with various scholars to enhance methodologies in imaging and vision. Wright has been recognized with awards for his impactful research, including the COLT 2012 Paper Award and the PAMI TC Young Researcher Award.

Research Interests

Experience

Awards