Research areas include harnessing quantum and nonlinear systems with many degrees of freedom for analog information processing, imaging, and sensing; physical and quantum neural networks; automated experimental science and engineering; data- and computer-driven methods, and co-designed hardware-software tools for open-ended experimental discovery, and design and control of complex physical systems; multimode quantum and nonlinear photonics.
Research Experience
Leads the Wright Applied Physics Lab at Yale University; research spans theoretical, computational, and experimental aspects, primarily using photonics-based or photonics-enabled experiments and prototypes. Aims to develop new kinds of efficient analog computing machines and multimodal light tools for rich, flexible manipulation and measurement of matter.
Background
Focused on physical computer science and lasers; research interests include computation and computational sensing with physical systems (especially based on multimode waves), the design and control of complex physical systems (typically with physics-informed, data-driven methods), and the physics and applications of multimode quantum and nonlinear photonic systems.
Miscellany
The lab welcomes diverse ideas, expertise, applications, and people not just from photonics but also from adjacent fields such as robotics, applied mathematics, fluid mechanics, biology, and materials science.