I am a Research Scientist in the Emergent Artificial Intelligence Lab at Intel Labs.

The substantive focus of my research looks at characterizing latent social biases in large generative models and techniques for correcting/steering these biases.

In practice, my work is up and down the AI Research/Engineering stack, from optimizing training for large multimodal models on hundreds of accelerators, to developing custom pytorch modules, to designing experiments and evaluation metrics.

Prior to Intel, I was postdoc at Princeton University working with Professor Brandon Stewart, and did my PhD at the University of Oxford with Professors Andy Eggers and Raymond Duch.

A great thing about my work at Intel is that I am able to collaborate with external researchers! Please reach out if you are interested.

News

  • Feb 2025: New dataset on HuggingFace: IssueBench
  • Dec 2024: Scholar Award for top Intel Labs Academic Author
  • Dec 2024: Spotlight Paper at the Creativity and AI Workshop at NeurIPS 2024
  • Oct 2024: 3 papers accepted to NeurIPS 2024 Workshops
  • Sep 2024: 2 papers accepted to EMNLP 2024
  • Aug 2024: ACL Outstanding Paper Award!
  • Mar 2024: New model on HuggingFace: intel/llava-gemma-2b
  • Feb 2024: Started at Intel Labs as AI Research Scientist

Publications

For a full list of papers, see here.

Highlights

Preprints