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Logan Wright is a Professor at Yale Engineering with a Ph.D. from Cornell University. His research interests encompass physical computation, control, and complexity, primarily focusing on photons. He is investigating physical quantum neural networks, leveraging controllable parameters in physical systems for analog computing and computational imaging. Additionally, his work delves into automated experimental science and engineering, utilizing computer-driven methods for discovery and control of complex physical systems, along with physics-informed machine learning. His explorations in multimode quantum nonlinear photonics cover applications of nonlinear quantum optical wave propagation and oscillators, emphasizing degrees of freedom in physics. Wright's work integrates experimental, theoretical, and computational aspects, revealing significant contributions to the understanding and application of photonics in diverse fields, including robotics, applied mathematics, fluids, biology, and materials science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.