Armineh Nourbakhsh is a PhD student at the Language Technologies Institute at Carnegie Mellon University, as well as a Director at J.P. Morgan AI Research, where she leads a team on multimodal document AI. Her career spans a decade of research in Natural Language Processing in areas such as targeted sentiment analysis, event detection and verification, information extraction, and social data mining. Prior to J.P. Morgan, Armineh was a Director of Data Science at S&P Global, where she led efforts to transform operational workflows related to the ingestion and processing of financial disclosures. In addition to numerous publications and patents, Armineh’s research has been deployed in award-winning AI-driven technologies such as Reuters Tracer, Westlaw Quick Check, and the SocialZ Verve index. She has previously organized workshops at AAAI and ICAIF, and served on the Program Committee of several conferences including IJCAI, AAAI, and ICAIF.