Megha Vemuri
Cambridge, MA| Grant Category: | Fulbright-Nehru Student Research Program |
| Project Title: | Investigating the Language Networks of Early Multilinguals using fMRI |
| Field of Study: | Neuroscience |
| Home Institution: | Massachusetts Institute of Technology, Cambridge, MA |
| Host Institution: | National Brain Research Centre, Gurugram, Haryana |
| Grant Start Month: | September 2025 |
| Duration of Grant: | Nine months |
Brief Bio:
Megha Vemuri received her BS in computation and cognition and in linguistics and philosophy from the Massachusetts Institute of Technology (MIT) in May 2025. Her academic and research interests center on the neurobiology of language and its developmental foundations. She worked as an undergraduate research assistant in various neuroscience labs throughout her time in the university. Her early research spanned both assistive technology and interspecies communication. At the Senseable Intelligence Lab, she worked on Mumble Melody, a mobile application serving as a free, accessible alternative to assistive technology for people who stutter. Building on this interest in social connection, she co-led a novel study in interspecies communication, designing and analyzing a video-calling system for socially isolated parrots. The work received press coverage and an honorable mention at the 2023 Conference on Human Factors in Computing Systems. In 2024, she conducted infant neuroimaging research in South Africa with the Neurodevelopment Group at the University of Cape Town, using EEG and portable MRI to identify early brain development biomarkers in low-resource settings. For the last two years, she has been working in the EvLab at MIT’s McGovern Institute for Brain Research, on fMRI projects focused on multilingualism, heritage speakers, and language processing, many of which serve to diversify neurolinguistics data.
In her Fulbright-Nehru project, Megha is examining the neural signatures of individuals who acquired three or more languages at a young age. The fMRI study is being conducted at the National Brain Research Centre in Gurugram under Dr. Arpan Banerjee. Using fMRI methods adapted from the EvLab, the study is addressing a critical gap in neurolinguistics by examining an understudied population between bilinguals and polyglots. By collecting and analyzing brain imaging data from 80–90 participants, the project seeks to diversify language research by studying underrepresented profiles. The findings and materials will contribute to global cognitive science and support future language-related studies in South Asia, particularly in developmental contexts.