I am a research scientist at Salesforce Research working on Natural Language Processing and Explainable AI. My research focuses on making AI models more interpretable through quantitative methods such as causal mediation analysis and visualization tools including ProVis and BertViz. I am also interested in applying interpretability to scientific discovery, as in my research connecting BERTology and Biology. Recently, I have been exploring strategies for evaluating and strengthening NLP models through my work on Robustness Gym. I am also an avid blogger, and enjoy developing user-facing applications such as 100 Years Ago. Prior to my current role, I worked as a research scientist at Palo Alto Research Center. I received my PhD in Computer Science at the University of Minnesota under the supervision of John Riedl.