AI · Language · Computational Neuroscience
Postdoctoral Fellow at the Center for Brain Science, Harvard University.
I am a postdoctoral fellow at the Center for Brain Science at Harvard University. I work on the geometry and structure of language representations in modern neural networks. I study how concepts, categories, and compositional structure are organized in high-dimensional spaces. I try to understand what makes some representations stable, interpretable and generalizable.
I completed my PhD under Professor Gabriel Kreiman at Harvard. For my dissertation, I built and analyzed what remains the largest multimodal intracranial dataset for language to date, covering phrases, sentences, images and naturalistic meaning. That work revealed a cortical region in the left orbital H-shaped sulcus, sitting above the left eye, that reliably encodes parts of speech and basic syntactic structure across individuals. I am now a postdoc with Professor Haim Sompolinsky. His theoretical neuroscience and statistical physics background shapes how I think about representation, structure and computation in both biological and artificial systems.
My undergraduate training was at BITS Pilani, where I majored in computer science. Some of my other favorite courses were about the theory of general relativity in physics and the analysis of generative grammars in linguistics. As an undergrad, I built an augmented-reality system for safer surgical planning and earned a GE Foundation Fellowship. That experience taught me how engineering ambition and real-world application can work alongside rigorous thinking. What drives me is curiosity. I like to understand how complex systems work and process information. That curiosity pushes me to use theoretical tools from computer science and physics to study language and natural intelligence.