I'm a software engineer with a deep interest in helping industry apply quantum computing tools to tackle interesting problems. I'm especially interested in using quantum and classical computing together to improve the drug discovery process. I have experience building and deploying applications to help people do just that, building web apps using React and Vue, building backend services written in Node, Python, and Go, and deploying them all as Kubernetes applications. I am looking to expand my knowledge of current computational drug discovery techniques.
I'm currently working as a front-end software engineer for Zapata Computing, in Boston, Massachusetts. As part of the Quantum Platform team, I contribute to Orquestra across the tech stack, writing and deploying high-performance user interfaces for use by scientists and non-scientists alike. Orquestra enables anyone to write and deliver quantum and machine learning solutions, and run them in an enterprise environment.
I’m enthusiastic about solving problems, using my analytic and computational skills to approach a problem from many angles. I'm also a Dartmouth College graduate, and my coursework while at Dartmouth reflects that problem-solving interest: field-specific courses in quantum mechanics and quantum computing, which provide the problems to solve, as well as classes on software design and implementation, physical computing, and machine learning, which provide the tools to tackle them. I thrive most when given a hard problem and the freedom to solve it, whether that problem is a tricky design consideration, implementing a quantum algorithm, or a giant rock that needs to be moved. (See my volunteer work with the Appalachian Mountain Club.)