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About me
Iris is a 4th-year Biostatistics PhD student at New York University School of Global Public Health. Her research focuses on statistical machine learning and high-dimensional inference, with an emphasis on transfer learning, representation learning, and AI-driven methods for healthcare. She is interested in building theoretically grounded methodologies that enable robust and efficient learning from complex, heterogeneous, and large-scale biomedical data.