I'm currently a research scientist at Google Quantum AI, part of a large team working to build a useful quantum computer.
Previously, I did my undergraduate studies at the University of Chicago, where I majored in both physics and mathematics. I earned my doctorate from the University of Illinois at Urbana Champaign, studying the theory of disordered topological insulators under Taylor L. Hughes. While in graduate school, I was a visiting Feynmann intern at NASA Ames research laboratory, where I worked with Zhihui Wang and Eleanor Rieffel on methods for benchmarking quantum computers, as well as a quantum algorithms intern at QC Ware, where I worked with Wim van Dam on proving performance bounds for the quantum approximate optimization algorithm.
Most recently, I was the 2021 YQI postdoctoral fellow at Yale, where I designed new quantum error correction protocols for qubits with structured noise.
Previously, I did my undergraduate studies at the University of Chicago, where I majored in both physics and mathematics. I earned my doctorate from the University of Illinois at Urbana Champaign, studying the theory of disordered topological insulators under Taylor L. Hughes. While in graduate school, I was a visiting Feynmann intern at NASA Ames research laboratory, where I worked with Zhihui Wang and Eleanor Rieffel on methods for benchmarking quantum computers, as well as a quantum algorithms intern at QC Ware, where I worked with Wim van Dam on proving performance bounds for the quantum approximate optimization algorithm.
Most recently, I was the 2021 YQI postdoctoral fellow at Yale, where I designed new quantum error correction protocols for qubits with structured noise.
