Shailee Jain is a postdoctoral researcher and research intern with eight years of experience at the intersection of neuroscience, machine learning, and NLP, currently based at UCSF and affiliated with Google AI. She completed a PhD/MS in Computer Science at UT Austin, where her award-winning dissertation developed neural-network models to jointly interpret language processing in the human brain and in neural NLP systems. Her work spans voxelwise regression on language fMRI, multimodal semantic modeling, and practical ML projects from reinforcement-learning resource optimization to e‑learning analytics. A recipient of competitive fellowships and prizes (including the Society for the Neurobiology of Language best dissertation and the Glushko Prize), she combines strong theoretical rigor with hands-on engineering using TensorFlow, Keras, and neuroscience tooling. Notably, her background blends high-performance academic research with industry collaborations at Google AI and Intel’s brain-inspired computing lab, and she maintains an active research webpage and contactable presence for collaboration.
8 years of coding experience
2 years of employment as a software developer
94.2% in Class XII, CGPA 10 in Class X., 94.2% in Class XII, CGPA 10 in Class X. at Sri Kumaran Children's Home, CBSE
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Austin
Bachelor’s Degree, Information Technology, Cum. GPA: 9.67/10.0 | Major GPA: 9.85/10.0, Bachelor’s Degree, Information Technology, Cum. GPA: 9.67/10.0 | Major GPA: 9.85/10.0 at National Institute of Technology Karnataka
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