I’m a graduate student in the Fluid Interfaces group at the MIT Media Lab, advised by Prof. Pattie Maes, with a background spanning Information and Embedded Systems, Computer Science, and Artificial Intelligence. My research focuses on reimagining personal AI agents as lifelong companions for human growth. By combining behavioral AI, user modeling, and proactive interactions, I explore how intelligent systems can move beyond assisting with immediate tasks to helping people learn, develop, and thrive over time.
For more than a decade, I have worked across research labs, startups, and large technology companies, building and deploying hardware, software, and AI systems. My research has been published at leading venues, including CHI, UIST, EMNLP, NeurIPS, IUI, and Augmented Humans, and has received recognition from Meta Reality Labs Research, Google Research, and Prototypes for Humanity.
Before You Say It
Anticipating what a person is likely to say, and when, from months of everyday conversations captured by a wearable AI system and modeled with LLMs.
When and How to Help
Adapting AI assistance to moments of user struggle with multimodal AI glasses.
In review at CHI ’27
Mirai
Wearable AI system with an integrated camera, real-time speech processing, and personalized voice-cloning to provide proactive and contextual nudges for positive behavior change.
Mnemonic Tracing
Using eye gaze as a natural query to search through visual memories captured by always-on wearables.
Mind Mapper
Wearable AI system that models and predicts a person’s behavioral patterns from their everyday conversations using LLMs.
Music for Habit Learning
Can music tunes remind us of our intentions while learning new habits?
Ongoing research
AiSee
AI-powered companion for people with visual impairments to independently access visual information.
SeEar
A low-cost AR device with localized real-time captions tailored to enhance the educational experience of Deaf and Hard-of-Hearing (DHH) students.
Hatthini
Conversational companion for emotional regulation, using AI to assist users in managing emotions effectively.
Kavy
Conversational AI agent designed to foster language-speaking skills and build self-confidence.
ICOAE
Wristband and mobile app for health monitoring and emergency handling, designed for elderly individuals.
SpeechAssist
Mobile app designed to support advanced stammering treatments such as Delayed Auditory Feedback (DAF).
* denotes equal contribution. Full list on Google Scholar.
UIST 2026 · ACM Symposium on User Interface Software and Technology
IUI 2026 · ACM International Conference on Intelligent User Interfaces
CHI 2025 · ACM Conference on Human Factors in Computing Systems (Extended Abstracts)
CHI 2026 · ACM Conference on Human Factors in Computing Systems (Extended Abstracts)
CHI 2026 · ACM Conference on Human Factors in Computing Systems (Extended Abstracts)
CHI 2024 · ACM Conference on Human Factors in Computing Systems (Extended Abstracts)
NeurIPS 2026 · Workshop on VLMs for Real World Deployment
ACII 2026 · International Conference on Affective Computing and Intelligent Interaction (Workshops and Demos)
arXiv preprint, 2026
CHI 2026 · ACM Conference on Human Factors in Computing Systems (Extended Abstracts)
arXiv preprint, 2026
arXiv preprint, 2025
UIST 2024 · ACM Symposium on User Interface Software and Technology (Adjunct)
Augmented Humans 2024 · Augmented Humans International Conference
EMNLP 2023 · Findings of the Association for Computational Linguistics
arXiv preprint, 2025 · journal article in review