I’m interested in how computer vision, human-computer interaction, and extended reality can work together to solve problems in health and assistive navigation.

In the Bionic Vision Lab at UCSB, advised by Prof. Michael Beyeler, my dissertation tackles the last mile of navigation for people who are blind or have low vision: the final stretch where GPS stops being useful. I study where wearable cameras should go to capture useful spatial information (head- vs. cane-mounted) and how to turn that information into guidance people can act on (actionable cues beat maps and compasses, ISMAR 2026 Best Paper). I also lead development of BionicVisionXR, our open-source toolbox for simulating what bionic-eye users see, so we can design and test visual aids in mixed reality before they reach patients. See all my projects and publications.

My interest in computing for health started at the Indian Institute of Technology, Goa, where I earned my B.Tech in Computer Science & Engineering and worked with Prof. Clint George on detecting breast cancer subtypes from gene-expression data.

Away from research I shoot photography, ride bikes, and follow Formula 1. For a fuller snapshot, here’s my résumé.

Recent

Students mentored

  • Alvin Wang, Edward Ding, Jennifer Zhu & Kyle Zhao (ERSP 2023–2024)
  • Andrew Liang & Emma Shen (RMP 2023)

Reviewer

  • Conferences: UIST'25, VRST'25, CHI'26, VRST'26
  • Journals: Computer Methods and Programs in Biomedicine, Cognitive Research: Principles and Implications