- 'Accounting for Sycophancy in Language Model Uncertainty Estimation', NAACL 2025
- 'Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others in Conversation Forecasting', 2025 ACL
- 'Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models', ACL 2024
- 'Studying and Mitigating Biases in Sign Language Understanding Models', EMNLP 2024
- 'Including Signed Languages in Natural Language Processing', ACL-IJCNLP 2021
- 'HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations', EACL 2024
- 'PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners', UAI 2022
- Awards:
- Best Theme Paper Award for 'Including Signed Languages in Natural Language Processing'
- Best Paper Award for 'PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners'
Research Experience
- Assistant Professor at Northeastern University’s Khoury College of Computer Sciences
- Resident Visiting Fellow at the Brookings Institution
- Science and technology advisor in Congress
- Collaborated with the United Nations in Africa on initiatives using AI to support anti-violence efforts and promote equitable access to education and health
- Lead of the Contextual AI Lab, focusing on building embodied systems that operate meaningfully within context across language, embodiment, and society to support safer, fairer, and more productive interactions between humans and machines
Background
- Research Interests: Developing safe and fair AI systems that enhance communication, decision making, and knowledge sharing across disciplines and populations
- Professional Field: Computational Linguistics, AI Policy, Ethics
- Brief Introduction: Assistant Professor at Northeastern University’s Khoury College of Computer Sciences, Resident Visiting Fellow at the Brookings Institution focusing on AI policy, Ethics Chair of the Association for Computational Linguistics, and a member of the Northeastern Ethics Institute