معرفی
Logan Wright is an Assistant Professor of Applied Physics at Yale University, affiliated with the School of Engineering & Applied Science. His research focuses on physical computation, control, and complexity in photonics, with expertise in multimode nonlinear systems and quantum neural networks. He holds a Ph.D. from Cornell University (2018).
Key research areas include automated experimental science using physics-informed machine learning, multimode quantum photonics, and developing high-dimensional optical tools for sensing and computing. His work bridges photonics with fields like robotics and applied mathematics, emphasizing experimental and theoretical approaches.
Notable awards include the Cornell William Nichols Findley Award (2018 and 2015), Tingye Li Innovation Prize (2018), and Optica Outstanding Reviewer Recognition (2017). His publications span topics like physical neural networks and nonlinear optical systems, with contributions to Nature, Nature Physics, and Optica.
His lab, the Wright Applied Physics Lab, explores photonic computing, experimental science automation, and multimode photonics. The lab seeks to develop photonic brains and high-dimensional light tools, collaborating on projects funded by grants such as a $9M ONR award for chaos-taming with AI.
