About Me

I’m a second-year physics PhD student at Yale, and a Department of Energy Computational Science Graduate Fellow.

My research interests lie in quantum information and quantum error correction. In particular, I am interested in hardware-efficient approaches to quantum error correction, techniques that exploit structured or biased noise to reduce the resources required for fault-tolerant quantum computations.

Before starting my PhD, I graduated summa cum laude from the University of Michigan, where I majored in computer science and engineering physics with a minor in mathematics. I worked as a research and development intern in quantum information science at Sandia National Laboratories, where I developed application-specific benchmarking techniques for near-term quantum devices. I also spent a summer as a software development intern at NASA’s Jet Propulsion Laboratory, working on test software for the lander vision system on the Mars Sample Return Mission.