My research broadly focuses on understanding why and how language models exhibit social biases. I study how we can reliably measure bias in NLP and try to ground the discussion of bias in the broader societal perspective. I'm in particular interested in using interpretability tools to answer questions like "How can we reliably measure and mitigate bias?" and "How do LMs learn these biases in the first place?"