I'm a software engineer with a deep interest in applying AI and other computational tools to tackle interesting problems. I'm especially interested in using AI, quantum computers, and classical computing techniques together to improve the drug discovery process.
I'm currently working as a software engineer II for Flagship Labs 97, an early-stage startup in Boston, Massachusetts. FL97 is aiming to automate the scientific process, allowing materials scientists and biochemists to design, build, and analyze new materials and molecules faster than ever before. I'm building the platform that will enable this automation, and I'm excited to be a part of this effort.
I've found scientists often get slowed down by the applications they use. My experience has taught me that the best tools get out of the way, allowing scientists to focus on their work, while supporting communication and collaboration among them. I have experience building and deploying applications that scientists can actually use, as well as experience working with those scientists to improve existing workflows and tools. I've built web apps using React and Vue, backend services in Python, Node, and Go, and I've deployed them on Kubernetes clusters on AWS, Azure, and on-premise infrastructure.
Most of all, I’m enthusiastic about solving problems, using my analytic and computational skills to approach a problem from many angles. I'm a Dartmouth College graduate, and my coursework in quantum mechanics and quantum computing provided the problems to solve, while courses on software design and implementation, physical computing, and machine learning provided the tools to tackle them. I thrive most when given a hard problem and the freedom to solve it.