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 at Lila Sciences, a Flagship Pioneering startup in Boston, Massachusetts. Lila's mission is to build scientific superintelligence, to solve humankind's greatest challenges. We're building a laboratory which will allow AI to explore the boundaries of knowledge, and expand our understanding of the world. I'm excited to be a part of this effort, building the platform that will enable this automation of the scientific method.
I've found scientists often get slowed down by the applications they use. As deeply technical users, I've found the best tools are those that 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. In the pursuit of usable software for scientists, I've built web apps and orchestration platforms, deployed on cloud-native and on-premise infrastructure, all while sitting in the lab side-by-side with my users.
At the end of the day, I’m enthusiastic about solving problems, using my analytic and computational skills to approach problems from many angles. I thrive most when given a hard problem and the chance to understand it, design a solution, and tackle it.