Pervasive Intelligent Systems (Persist) Lab

AI holds great promise for improving human communication and interaction. However, data-driven solutions often overlook key human-centric challenges, such as ambiguous and fragmented information and implicit contexts. At the Pervasive Intelligent Systems Lab (PersistLab), we develop socio-technical AI methods and systems that enhance communication, decision-making, and well-being in high-stakes domains such as healthcare. Our research bridges natural language processing, human–AI interaction, and computational health to develop and validate novel methods, and systems that understand context, uncertainty, and human intent. We study how people communicate about health by collecting and analyzing multimodal data from patient–provider portals, online health communities, and social and behavioral sensing. We create domain informed representation of data by engaging with different stakeholders, including patients, clinicians, patient advocates, community engagement partners, and clinical and public health researchers. Supported by NIH, NSF, Google, CTSA, and institutional fundings, our work advances the science of collaborative intelligence, where humans and AI systems work together to improve health communication, coordination, and outcomes.

Overview of research
Overview of my current and prior work, and how it informs my long-term vision.

News and Announcements

15 September, 2025
Congratulations to Omar for the EMNLP 2025 findngs paper: REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction.
10 June, 2025
Excited to receive the Google Research Scholar Award to investigate how to safely situate LLMs for improved patient-provider communication.
15 May, 2025
Congratulations to Joey et al. for the two ACL 2025 papers in the main track: Follow-up Question Generation For Enhanced Patient-Provider Conversations and Document-Level Event-Argument Data Augmentation for Challenging Role Types.
23 September, 2024
Our NIH R21 has been selected for funding (Total funding: $451K, Role: PI, Title: "Characterizing Information Needs and Peer Engagement Regarding Medication for Opioid Use Disorder on Social Media"). I am thankful to my co-Is Dr. Sarah Lord, Dr. Jacob Borodobsky, and mentor Dr. Lisa Marsch, for their support. We will build human-centric NLP pipelines to analyze online discourse on recovery treatment and improve patient education and communication. Thank you, NIH!
20 September, 2024
Congratulations to Omar et al. for the EMNLP 2024 paper: Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments.
30 July, 2024
Congratulations to Madhusudan and others. Our group is in Researcher Access Program. We received a $5k API credit and will continue to assess OpenAI models on human-centric NLP tasks.
25 July, 2024
Dartmouth SYNERGY team received a $27.7M funding through NIH’s Clinical and Translational Science Award (PIs: Drs. Steven L. Bernstein, Anna N.A. Tosteson, Keith D. Paulsen). As a co-PI, my students and I will work on the development of an NLP pipeline to analyze pre-visit questionnaire responses and clinical notes, aiming to assess goal-aligned care.
10 June, 2024
Excited to receive the Hitchcock Foundation Pilot Research Grant ($50K, role: PI). In collaboration with DHMC providers, we will develop human-centric NLP solutions to triage patient portal messages. We also made it to the final round of the DIADH Accelerator.
4 June, 2024
We successfully wrapped the Reliable Evaluation of LLMs for Factual Information (REAL-Info) workshop at ICWSM-2024. Thanks to my wonderful co-organizers, students, and all our participants. Special thanks to Dr. Munmun De Choudhury for her amazing keynote!
16 May, 2024
Congratulations to Omar et al. for the ACL 2024 paper: Deciphering Hate: Identifying Hateful Memes and Their Targets.
21 April, 2024
Check out our paper Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit, at Reliable Evaluation of LLMs for Factual Information (REAL-Info) workshop, co-located with ICWSM-2024.
8 March, 2024
We have posted two new pre-prints on arXiv! (1) Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data (2) Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse.
17 January, 2024
One paper on Multimodal Learning accepted at EACL-2024 SRW. Congratulations to Eftekhar, Omar, and other co-authors.
09 December, 2023
One paper accepted at AAAI-2024. Congratulations to Omar, Madhu, and other co-authors.
23 October, 2023
One paper accepted in GEM Workshop at EMNLP-2023. Congratulations to Joey and other co-authors.
06 October, 2023
Two papers accepted at EMNLP-2023. Congratulations to Joey, Parker, and Omar!
15 July, 2023
One paper accepted at ICWSM-2024. Congratulations to Will, Omar, Madhu, and other authors!
26 June, 2023
Congratulations to Parker for presenting his paper in ICHI-23.
5 June, 2023
Congratulations to Joey and Parker for presenting their papers (Paper-1, Paper-2) in ICWSM-23.
12 September, 2022
Congratulations to Omar for being awarded the Presidential Graduate Fellowship from Dartmouth.
10 September, 2022
Welcome to our new PhD students, Madhusudan Basak and Omar Sharif!
21 August, 2022
Welcome to Lutz Lu, Vasavi Garimella, Dae Lim Chung, Vasavi Garimella, Garrett Johnston, Burke Jaeger, Love Tsai, Zhanel Nugmanova, who have joined the PersistLab!
22 May, 2022
Congratulations to Parker on being named a Guarini PhD Innovation Fellow.