hello! I’m head of data science at nonprofit Climate Policy Radar where we’re building free tools which use 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

• collaborative research, on
  • responsible RAG for climate decision-making from documents
  • 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
• parts of each iteration of our climate policy (re)search tool

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

• I co-organised both the first and second workshops at ACL (2024-5)
• I co-founded an online community for people working on Climate NLP, with an active Slack and monthly talks
• I’ve given 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.