About
I’m a postdoctoral fellow at the Environmental Data Science Innovation & Impact Lab (ESIIL), an NSF data synthesis center at CU Boulder. As part of my ESIIL fellowship, I’m a member of the Boettiger Lab. Starting Fall 2026, I’ll be a postdoctoral researcher at the Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at UC Berkeley.
I hold a PhD in operations research from Drexel University, with a graduate minor in computational data science, and a BS in mathematics from the University of Utah. My early research focused on nonlinear optimization, developing algorithms to solve large-scale problems in machine learning. Midway through my PhD, I became concerned about how AI was being used and looked for ways to apply my expertise with more public benefit, which led me to environmental science.
Research
My research develops mathematical optimization and AI methods for conservation and natural resource decision-making. I codevelop open-source decision-support tools with practitioners and stakeholders, combining LLMs with optimization to make complex spatial data usable. Recent projects span state to international scales — California’s 30x30, the Greater Yellowstone Ecosystem, and the High Seas Treaty.
I’m always interested in new collaborations!