I'm a co-founder at Logiqal, a company building a neutral atom computer.
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.
After graduate school, I was the 2021 YQI postdoctoral fellow at Yale, where I designed new quantum error correction protocols for qubits with structured noise under professor Shruti Puri.
I worked for a little over a year at Google Quantum AI, running realistic simulations of small-scale quantum error correction experiments, including the first experiments demonstrating below-threshold error correction on the standard surface code, color code, and dynamic surface code.
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.
After graduate school, I was the 2021 YQI postdoctoral fellow at Yale, where I designed new quantum error correction protocols for qubits with structured noise under professor Shruti Puri.
I worked for a little over a year at Google Quantum AI, running realistic simulations of small-scale quantum error correction experiments, including the first experiments demonstrating below-threshold error correction on the standard surface code, color code, and dynamic surface code.