I'm a third-year PhD student in applied physics at Stanford University in Prof. Shanhui Fan's group, where I work on theoretical problems in nanophotonics, machine learning, and quantum optics. I graduated from the California Institute of Technology with a BS in physics and computer science in 2017.
My research focuses on optical computing architectures for classical and quantum information processing. Lattices of interferometers in a nanophotonic integrated circuit can be used to perform high-throughput and energy-efficient matrix computations and provide a promising hardware platform for machine learning. I have also worked on extending this type of programmable optics to the quantum domain, and described an architecture for a photonic quantum programmable gate array which can be reprogrammed to imeplement any quantum operation, in principle determinstically and with perfect fidelity.
Prior to coming to Stanford, I developed a quantum network simulation framework while working at INQNET, wrote a functional testing system for camera subsystems on the Large Synoptic Survey Telescope, did work on high-precision timing algorithms for the Large Hadron Collider, and studied the evolution of the Earth's rotation.