Khoury College of Computer Science
Office 2207, 177 Huntington Avenue
Boston, MA 02115
I am an assistant professor in the Khoury College of Computer Sciences. I am also a core faculty member of the Institute for Experiential AI and of the NULab for Texts, Maps, and Networks at Northeastern University.
I work on Natural Language Processing and Machine Learning methods to analyze personal and user generated text, such as social media and clinical notes from Electronic Health Records. I am primarily interested in tasks involving subjective, personalized or user-level inferences (e.g. opinion mining and digital phenotyping). In particular, my work aims to improve the reliability, interpretability and fairness of predictive models and analytics derived from these data.
More broadly, my research is part of ongoing efforts to develop Human-centered AI (i.e. to empower rather than replace humans) and AI for Social Good (i.e. to tackle meaningful social, societal and humanitarian challenges). To achieve these goals, I often collaborate with domain experts in multidisciplinary projects to address real-world problems in the social sciences, medicine and epidemiology.
I will be teaching CS6120/4120: Natural Language Processing in Fall 2022
|Apr 2022||Our TIER 1 grant proposal Discovering Digital Allies and Influential Actors in Online Social Movements with Yakov Bart and Brooke Foucault Welles was approved for funding.|
|Apr 2022||I am chairing the keynote session and the paper presentation session at the UserNLP workshop at The Web Conference 2022|
|Apr 2022||Can We Trust AI?.) I participated on a panel on trustworthy and responsible AI at the inaugural event of the Institute for Experiential AI with Cansu Canca, Rayid Ghani, Lorena Jaume-Palasí, moderated by Ricardo Baeza-Yates.|
|Apr 2022||The Institute for Experiential AI Paves the Way Toward Eliminating AI Biases|
|Feb 2022||I was featured as a panelist on the first event of the Diversity, Equity, Inclusion, Accessibility, and Belonging (DEIAB) Speaker Series at the Khoury College of Computer Sciences: Why I Belong in CS|
🔖 selected publications
- NAACLOn the Impact of Random Seeds on the Fairness of Clinical ClassifiersIn Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2021
- CLPsychMental health surveillance over social media with digital cohortsIn Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology 2019
- MLHCQuantifying Mental Health from Social Media with Neural User EmbeddingsIn Proceedings of the 2nd Machine Learning for Healthcare Conference 2017
- CONLLModelling Context with User Embeddings for Sarcasm Detection in Social MediaIn Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning 2016