Papers accepted at EMNLP (Omniguard) and Findings of EMNLP (Dementia Through Different Eyes); Participated as a panelist in The Future of NLP workshop at UBC; Keynote at The 4th Multilingual Representation Learning workshop, EMNLP; Moderated a panel about Safety in AI at The Paul G. Allen School’s 2024 Annual Research Showcase and Open House event.
Research Experience
Assistant Professor at the University of British Columbia; Postdoctoral researcher at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, Meta AI, and Amazon.
Education
Ph.D. in Computer Science from the NLP lab at Bar Ilan University; M.Sc. in Computer Science from the Hebrew University; Postdoctoral researcher at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, Meta AI, and Amazon.
Background
Research interests: at the intersection of Natural Language Processing, Machine Learning and Artificial Intelligence. Long-term vision: transforming LLMs into responsible, reliable and trustworthy systems, available and fair across languages and different socio-demographic groups. Research focuses on: (1) Control and interpretation of models: understanding model behavior and controlling model generation; (2) Reliability, safety and fairness: making models more consistent and safe, and mitigating biases and risks; (3) Multilinguality: creating NLP tools that equitably serve speakers of as many languages as possible, as well as understanding the emergent property of cross-linguality in models. Additionally, recently developed an interest in employing NLP tools and methodologies in the health domain.