I'm an Assistant Professor at USC in Computer Science and a Research Team Lead in Information Sciences Institute (ISI), where I'm also a member of the USC NLP Group, USC Machine Learning Center and ISI Center on Knowledge Graphs. At USC CS I'm the PI of the Intelligence and Knowledge Discovery (INK) Research Lab. I work part time at Snapchat as a Data Science Advisor in 2018. Prior to USC, I did my PhD work in computer science at UIUC. I've also spent time with the Stanford NLP group and the SNAP group at Stanford.
I work on new algorithms and datasets in natural language processing and machine learning to make our AI systems cheaper (less labeled data), transparent (explainability) and reliable (understanding human prior knowledge and decision rationale). My research group (INK Lab) at USC focuses on developing label-efficient, prior-informed models that extract machine-actionable knowledge from natural language data, perform neural-symbolic knowledge reasoning for intelligent applications, and learning (to adapt and improve) from human explanations and instructions. Please check out the our group website for more information.
A summary of my PhD work on label-efficient information extraction can be found in the book "Mining Structures of Factual Knowledge from Text: An Effort-Light Approach". Our research work is funded by NSF (SciSIP #1829268), DARPA (MCS, GAILA, SCORE, SAIL-ON), IARPA (BETTER, SAGE), and gift awards from industry partners including Google, Amazon, JP Morgan, Adobe, Sony, and Snapchat.