About me
I’m a climate scientist and open-source software engineer based in Brooklyn, NY, with over 15 years of experience in interdisciplinary climate research and over a decade of leadership in scientific software development.
My scientific work spans ocean circulation, climate variability, and climate change, while my technical work centers on developing scalable, cloud-native data infrastructure to empower science and machine learning teams.
I specialize in connecting diverse data sources—from in-situ sensors to global Earth system models—and developing tools and workflows that make these data more accessible, usable, and reproducible. Rather than maintaining a single tool, I focus on improving ecosystems: integrating open-source projects, identifying critical gaps, and translating between scientists and engineers to accelerate progress on complex challenges like climate change.
As a longtime contributor to the Pangeo community, I’m committed to open science and inclusive collaboration. I have lead and advised interdisciplinary teams, and regularly speak and teach about data science, visualization, and climate analytics using Python.
If you're interested in collaborating, exploring a shared project, or just talking science and infrastructure—feel free to reach out!
