I met Dolly, a 3-year-old with Autism Spectrum Disorder, when I began my internship at a local speech pathology clinic. With just eight weeks of therapy learning to use Proloquo2Go, an Augmentative and Alternative Communication (AAC) digital tool, Dolly’s sentences, voiced by the app, transitioned from “Games now” to “I am happy because I play games.” After witnessing how profoundly external assistive technology bolstered her confidence and communication, I developed a curiosity for exploring how to expand on this: can machine learning and AI be used to map activity in the language center of the brain to better predict language production?
At Berkeley, I study Bioengineering with a concentration in Medical Devices. I plan to minor in Neuroscience to gain a better understanding of the mechanisms that allow the brain to produce and recognize communication signals. Furthermore, I hope to learn about comparing the neural substrates of a healthy and cognitively impaired prefrontal cortex (required for language comprehension). With a foundation in neural networks, I want to mimic those mechanisms using computer programming to design personalized speech-generating devices (SGD).
I am surrounded by collaborative, interdisciplinary research. With such extensive opportunities, I hope to pursue my own independent research and help answer: How can positive feedback loops, where software is designed to self-adjust to the user’s unique preferences, work in conjunction with natural language processing to make SGDs more effective?
Through Berkeley’s human-centered bioengineering program, I aim to prioritize minority communities that can benefit most from personalized technology. My goal is to build devices that increase accessibility for everyday tasks - like maintaining a conversation - that people without cognitive disabilities may overlook. After watching my cousin, Aravind, a 17-year-old with Down Syndrome, struggle to speak due to his limited access to lifestyle-altering technology in rural India, I am especially committed to using this interdisciplinary research to make such resources more attainable. As an active member of UC Berkeley's Assistive Technology club, EnableTech, I have redesigned a client's ErgoPrimo walker to better accommodate their needs with Ehlers-Danlos Syndrome: from added gear-based motors to assist her movement on inclined surfaces, to selecting pressure-controlled resistance switch to control speed and prevent accidental motor-engagement.
It’s our responsibility as socially competent researchers to build on our lived experiences and promote inclusion. At Berkeley and beyond, I hope to help people like Aravind find their voice by revolutionizing how we communicate. I am especially eager to explore these opportunities at graduate programs at Northwestern University and Vanderbilt University, who are world-renowned for their research in AAC devices, Assistive Technology, and Speech Therapy. After building a foundation in research, I hope to transition to applying these findings in industry.