Cyber-Physical Systems
for Accessibility and Ability Augmentation

My research sits at the intersection of human-AI interaction and AI for social good. I am broadly interested in how intelligent systems can be designed to preserve human agency and critical thinking—particularly in contexts where AI outputs carry uncertainty or where users are underrepresented in default interface design. This includes questions of how to surface model confidence in ways that build rather than undermine user trust, how adaptive AI systems can serve diverse user needs without requiring explicit configuration, and how the internal dynamics of large language models (such as reasoning depth and hidden-state convergence) relate to the transparency and reliability that end-users experience.

My research interests lie in augmented reality and accessibility. I design and develop AR technology to automatically recognize surrounding visual information that cannot be easily perceived by people with low vision, and generate suitable multi-modal feedback to enhance their perceptual abilities in various daily tasks.

I work on Assistance Systems for Skill Acquisition.

I work on accessibility technology for people with visual impairments in outdoor sports. My project SnowEcho is a blind skiing assistance system that conveys obstacles and course boundaries through spatial audio, allowing skiers to perceive traversable free space and choose their own line rather than following a prescribed route.

I challenge outcome-driven "access" and develop a process-oriented frame: Developmental Flourishing. It reframes assistive technologies not as instruments for reaching task outcomes, but as a means through which blind and low-vision individuals can explore, create, and construct meaning from their experiences. I share an analysis of sensing and AI systems, discussing the extent to which they align with and augment blind people’s perceptual and cognitive processes, while highlighting persistent challenges and future directions.

I am broadly interested in making physical experiences accessible. My past work has focused on making dance instruction accessible for blind and low-vision learners using multimodal cues. I have also collaborated on Vid2Coach, a wearable task assistant for BLV individuals, and on designing accessible communication for household robots. This workshop is strongly aligned with my interest in physical systems for accessibility, and I am excited to connect with other researchers about these systems, both within and outside accessibility contexts.

I am broadly interested in Artificial Intelligence and Human-Computer Interaction, particularly with applications in accessibility for blind users. Recently, I built two AI tools, CodeA11y and iTagPDF, that help automatically produce and preserve accessibility metadata for websites and PDFs, respectively.

Accessibility of interfaces through computational methods.

My research lies at the intersection of ubiquitous computing, mobile sensing, human-centered computing, and responsible AI. My work advances privacy-aware sensing systems for health and wellness.

Economics, Consumer Behavior, and Market Psychology.

I am a researcher on the MIND team at Apple. I received my CS Ph.D. student from Stony Brook University, working with Shubham Jain at the intersection of Ubiquitous Sensing and Health Systems in the PiCASSo lab. I have worked on around-the-ear devices. I spent the summer of 2025 with Microsoft Research, Redmond, in the Networking Research Group. My research has been awarded by Stony Brook University and covered by The Economic Times, Outlook, Financial Express, and The Hindu.

I study and design AI and AR interfaces to explore how computational tools can become more transparent, malleable, and dynamic, as well as how they relate to the broader environments they inhabit, primarily in the contexts of accessibility, creativity support, and sensemaking. I believe in empowering people to engage with and through technology in more embodied, pluralistic, and liberatory ways.