Research Portfolio

Developed open-source policy tools and predictive models to support UN plastic treaty negotiations. Our research demonstrated that four coordinated policies could reduce mismanaged plastic waste by 91% and greenhouse gases by one-third by 2050.

Briefed global and national delegations throughout the negotiations, with results presented at the World Economic Forum and New York Climate Week and published in Science. We are now extending this work to California's SB 54, a landmark law that shifts responsibility for reducing single-use packaging waste onto producers.

The loss of biodiversity is one of the defining concerns of our time. I work to understand its patterns and how we can use novel technologies to monitor them and make decisions from what we find. Starting with eDNA and expanding to camera trap and bioacoustic data analysis, I have approached this work from an academic research perspective and in partnership with Indigenous and local communities, co-designing land management tools that integrate traditional ecological knowledge with modern data science.

My team focuses on building workflows that respect both the sensitivities surrounding biodiversity and the data privacy of communities, while holding to open science principles. With the California Wildlife Soundhub project, for example, we design governance strategies for the software and build the open infrastructure (see Jupyter Bioacoustic) that brings more flexibility and accessibility to bioacoustic analysis.

Built Kigali Sim in partnership with the United Nations, a free, open-source modeling tool that helps policymakers optimize investments in reducing hydrofluorocarbon (HFC) emissions under the Montreal Protocol, without requiring coding expertise.

Beta tested with over a dozen countries, NGOs, and agencies. Officially launched December 2025. Conservative estimates suggest the tool could help middle-income nations reduce overall greenhouse gas emissions by approximately 5% by 2040.

Co-launched GeoJupyter to make geospatial data analysis accessible through open-source tools integrated with Jupyter's collaborative infrastructure. I led user research (40+ hours of interviews), organized in-person and virtual hackathons, and ran workshops with scientists and programmers to drive adoption and shape the platform's design.

A Nature publication used JupyterGIS for global carbon storage analysis, validating the tool's research readiness.