Jane Lee

Jane Lee is a Research Fellow in the Department of Neurology at the Yale School of Medicine. Her work bridges computational methods with medical and social science applications. Research interests include machine learning algorithms, statistical modeling of truncated data, and social media analysis for health insights. She has contributed to advancing techniques in semi-supervised learning, spiking neural networks, and group-theoretic data augmentation frameworks.

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Her publications emphasize robust learning from imperfect data and interdisciplinary applications of computational methods across healthcare and social sciences. No awards or grants are listed in the provided information.