Diagnosing and Repairing Persona Collapse in LLM Advice
preprint, under review
A Taxonomy of AI Value Alignment: Subproblems, Approaches, and Limitations
AIES 2026 ● request for preprint
Position: We Need Large Language Models Optimized For Our Well-Being
ICML 2026 ● PDF
When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being
CHI 2026 ● Code
Investigating the Effects of LLM Use on Critical Thinking under Time Constraints: Access Timing and Time Availability
CHI 2026 ● Project Website
Human Thinking under Plural LLM Assistance: Mathematical Problem Solving and Open-Ended Writing
preprint, under review ● Code
From Metrics to Decisions: Designing LLM Support for Managerial Sensemaking About Organizational AI Adoption
under submission ● work done during an internship at Microsoft
Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course
preprint, under review
Doing Team Science at Scale: Practical Guidelines for Leading a Crowdsourced Scientific Collaboration in Psychology
preprint, under review
Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking
CHI 2025 ● Honorable Mention ● Code
Math Education with Large Language Models: Peril or Promise?
AIED 2025
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
CSCW 2025 (PACM HCI)
Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools
CSCW 2025 (PACM HCI) ● Honorable Mention
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries
DataEd 2025 workshop
Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust
CSCW 2024 (PACM HCI)
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms
Learning@Scale 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
IAAI 2024
Small Steps over Time: A Longitudinal Usability Test of an Automated Interactive Text Messaging Intervention to Support Self-Management of Depression and Anxiety Symptoms
Journal of Affective Disorders
A Preliminary Analysis of Students’ Help Requests with an LLM-Powered Chatbot when Completing CS1 Assignments
CSEDM @ EDM 2024 workshop
Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing
CHI 2023 ● Best Paper Award
Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness
CHI 2023 extended abstract
A Text Messaging Intervention to Support the Mental Health of Young Adults: User Engagement and Feedback from a Field Trial of an Intervention Prototype
Internet Interventions
Exploring the Potential of Chatbots to Provide Mental Well-Being Support for Computer Science Students
SIGCSE 2023 poster
QuickTA: Exploring the Design Space of Using Large Language Models to Provide Support to Students
LAK 2023 workshop
Using Adaptive Experiments for Personalizing Mental-Health Related Interventions to Account for Heterogeneity between Participants
Intervention Science Preconference @ SPSP 2023 poster
Exploring the Design of Prompts for Applying GPT-3 Based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk
preprint (2022) ● presented at CODE@MIT 2022
“Sounds like a Cheesy Radio Ad”: Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies
CHI 2022 extended abstract
Prompt Engineering to Improve Experiences with Large Language Model-Administered Support
CODE@MIT 2022 talk
Safeguarding People against Social Media Frauds during the COVID-19 Oxygen Supply Crisis in India
ML4D Workshop @ NeurIPS 2021 workshop
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization
preprint (2021)
Website template adapted from Abhraneel Sarma.