hello! I’m founding data scientist head of data science senior data scientist at nonprofit Climate Policy Radar where we’re building free, open tools which use natural language processing (NLP) to improve climate decision-making from documents.

my work is broadly centered on NLP, climate change and how to do the former responsibly and collaboratively in the context of the latter. this includes:

building things, such as

• parts of each iteration of our climate policy knowledge graph and (re)search tool
• collaborative research, on
  • responsible RAG for climate decision-making from documents (2024)
  • identifying climate targets in national laws and policies using machine learning (ICLR 2024)
• a technical analysis tool for the First Global Stocktake, partnered with the UNFCCC

supporting the broader community through organising events and online spaces, and doing talks

• co-organised the first and second climate NLP workshops at ACL (2024-5)
• co-founded an online, active community for people working on Climate NLP
• co-wrote a tutorial on using our open knowledge graph for climate policy analysis (NeurIPS 2025)
• gave talks on
  • impact, equity and community in our data science at Nesta (2024)
  • a policy evidence base as a knowledge graph at the Turing Institute (2023)

before Climate Policy Radar I was lead developer on the Heritage Connector project, which built a system for building knowledge graphs from museum collections using NLP and Wikidata. we wrote a peer-reviewed paper, maintained a blog, and showed off some of our demos in a final talk.

you can also find me on linkedin, github, bandcamp and google scholar.