I received my PhD from the the School of Aquatic and Fisheries Science at the University of Washington in the Punt Lab. My research was supported by a NMFS-Sea Grant Population Dynamics Fellowship awarded in 2019.
My doctoral work focused on formal evaluations of model-driven decision making in scientific management settings. My simulation background has brought me a deep understanding of generative processes, estimation uncertainty, and benchmarking approaches. Because my origins are in the earth and life sciences, I’m at home working with dynamic systems we can’t perfectly observe. I find this the most exciting frontier for computational research.
The first act of my career was industrial fisheries management. I was involved in both producing science that directly informed decisions affecting $100mm assets, and leading the development of cutting edge methods in diagnostics and model evals that have been used for scientific decision making in over nineteen countries. You can see my publications in both categories by clicking the tabs above.
What am I working on these days?
I’m currently a data scientist at the Pacific Northwest National Laboratory. My goal is to build trustworthy systems for [autonomous/aI driven] computational science, mostly with earth & life sci applications.
Current work includes:
Leading computer-vision based transformer models for scientific data
Developing rigorous model evaluation suites for agentic workflows
Designing responsive, interoperable uncertainty quantification systems for autonomous laboratories
Building open source tools and documentation that connects scientific customers wand their agents with data
