I’ve long been drawn to both physics and computer science. My first foray into research as an undergrad was designing low-level control schemes for quantum computers, and I spent a gap year in Sweden learning to nanofabricate superconducting quantum circuits. I loved the high dimensionality of quantum computing theory and the alien world of the very small one has to manipulate while nanofabricating, but doing a PhD in purely physics felt too narrow to me. I joined Berkeley as a physics PhD student in the fall of 2019 and grew interested in how neural nets distill patterns out of data, which led me to the Redwood Center.
Apart from science, I like making puzzles, running, playing music, and balancing things.