Postdoctoral Scholar · Stanford University
I work at the intersection of clinical audiology, auditory neuroscience, and data science — building machine-learning tools to understand speech perception, hearing loss, and what it takes to make hearing healthcare more personalized and equitable.
I'm a postdoctoral scholar in the Department of Otolaryngology – Head & Neck Surgery at Stanford University, working at the intersection of clinical audiology, auditory neuroscience, and data science. My research focuses on understanding the factors that influence speech perception in real-world environments — including aging, hearing loss, and socioeconomic variables — and on utilizing large-scale clinical data to enhance diagnosis and rehabilitation.
I help develop data-driven tools that integrate audiometric thresholds, speech perception outcomes, and machine learning to support more personalized approaches to hearing healthcare. Previously, I completed my PhD in Auditory Neuroscience at Purdue University, where I investigated age-related changes in temporal processing and cortical auditory responses using EEG and behavioral methods.
Broadly, I'm passionate about combining clinical and neuroscience insights with computational approaches to build scalable tools that advance our understanding of hearing and improve outcomes across diverse patient populations.
Brought together students, staff, and faculty in auditory neuroscience for peer discussions, mentorship, and collaborations. Organized monthly discussions, journal clubs, and meetings.
Founded the Mysuru Chapter of the Human Library, an initiative challenging stereotypes and prejudices through dialogue. Part of the international Human Library organization headquartered in Copenhagen.
Attended camps to survey, diagnose, and manage communication disorders in remote and tribal populations across 4 cities in India. Organized and participated in over 10 awareness drives on Mental Health, Autism Spectrum Disorders, Tinnitus, and Noise.