About
Shailee Jain is a postdoctoral researcher at the Chang Lab in the Department of Neurosurgery at University of California, San Francisco (UCSF). Previously, she completed her PhD in Computer Science at the Huth Lab, University of Texas at Austin, with collaborations at Google AI Language and Intel Brain-Inspired Computing Lab. Her work bridges artificial neural networks with biological language processing systems.
- Education: PhD in Computer Science (2023), UT Austin; BSc at NITK Surathkal
Shailee's research focuses on Neuro-AI intersections, particularly interpreting neural NLP models to understand brain language processing. Her recent work explores voxel function modeling, context-sensitive speech encoding, and geometric signatures in neuro-AI systems. Key publications include:
- 2024: Frameworks for generative causal testing in language neuroscience
- 2023: Natural language fMRI dataset for voxelwise modeling
- 2022: Self-supervised speech modeling for cortical response prediction
Awards & Recognition:
- 2025: Rookie of the Year Award (CogHear'25)
- 2024: Glushko Dissertation Prize
- 2024: SNL Dissertation Award
- 2023: UT Austin Graduate School Fellowship
Active in academic service as Handling Editor for JoCNForum and Co-organizer for BayLI meetings, Shailee mentors through Women in Computer Science and reviews for top-tier venues. She teaches at summer schools like Cajal's NeuroAI program in Lisbon.
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