News

• Nominated as the finalist for the VentureBeat Women in AI Research award.
• Gave an invited guest lecture for University of Virginia's graduate class on vision and language.
• Got featured in Quanta magazine's article on AI and commonsense reasoning.
• 3 papers accepted at ACL 2020!
• I will be giving an invited talk at the CS Dept. of Yale University on March 3, 2020 on leveraging natural language explanations for commonsense qualitative reasoning and demostrate our propsoed approach to incorproate physical laws of collision, friction, and gravity in neural networks.

I am a Research Scientist at Salesforce Research. I started off as an IC in 2019 and currently lead the Robust NLP Research team. Our mission is to work on cutting-edge research in building robust NLP systems that create high impact internally and externally. We use Ethics as our guide for choosing problems to work on. If you are interested in joining my team, please reach out.

Before joing Salesforce Research, I completed my Ph.D. thesis in the Department of Computer Science at the Machine Learning Research Group of the University of Texas, Austin. I worked with my advisor Prof. Ray Mooney on problems in NLP, Vision and at the intersection of NLP and Vision. I have also worked on problems in Explainable AI (XAI) wherein I proposed a scalable approach to generate visual explanations for ensemble methods using the localization maps of the component systems. Evaluating explanations is also a challenging problem and I proposed two novel evaluation metrics that does not require human generated GT.

I completed my MS in CS with thesis advised by Jason Baldridge on new topic detection using topical alignment from tweets based on their author and recipient.