Hello! Thanks for visiting. I am a mathematically-oriented research engineer, with over a decade of
expertise in software engineering, machine learning and quantum computation. Generally, I work on projects
involving the science, engineering and characterization of information processing systems.
Previously, I was a post-doc at JILA and CU Boulder, doing machine learning research. My focus was on
understanding how noise impacts learning, with an emphasis on recurrent networks.
Prior to my post-doc I was a graduate student at CU Boulder working with Graeme Smith at JILA and with the QPL
at Sandia National Laboratories, where I focused on machine learning and quantum information.
Previous to graduate school I worked at Rigetti Quantum Computing as a full stack software engineer, focusing
primarily on the control software for operating quantum computers, and collaborating with Sandia National
Laboratories to perform statistically rigorous characterization of Rigetti's devices.
Before that, I graduated with a triple major from U.C. Berkeley in computer science, mathematics and physics,
and was a researcher at both Lawrence Berkeley National Laboratory on beamline optics and Sandia National Laboratories
on robust control of quantum systems.
