Published papers in top venues such as ACM CHI, ASSETS, FAccT, and AAAI/ACM AIES; Received Dennis Washington Foundation Fellowship, Siegel Public Interest Tech Impact Fellowship, and DLI Doctoral Fellowship; Presented a paper on Cross-Cultural Ableism in AI at AIES ‘25; Showcased Screen Reader Audio Fictions Paper at ASSETS ‘23; Demonstrated Maestro, an AI Vocal Coach, at Google Magenta
Research Experience
Interned at Microsoft Research India; Collaborated with NYC Mayor’s Office of PwD; Studied disability bias in the Global South using mixed methods to investigate how global inequities are reproduced in AI systems
Education
PhD: Computer Science, Cornell University (Advisor: Prof. Aditya Vashistha); B.Sc: Computer Science and CCIT, UToronto (Graduated May 2020)
Background
Research Interests: AI serving, representing, and supporting people with disabilities; Fields: Human-Computer Interaction, Accessibility, Human-Centered AI, and AI Safety; Brief Introduction: PhD Candidate in Computer Science at Cornell University, focusing on disability bias in AI systems, especially in high-stakes domains like online harm and algorithmic hiring.