Anh Tien Nguyen
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Anh Tien NguyenResearch Associate & PhD Candidate My research focuses on investigating the feasibility and extending the capacity of histopathology foundation models under few-shot learning settings. In particular, I aim to improve generalization when labeled data are scarce, a common challenge in computational pathology. To achieve this, I study both multi-modal alignment across heterogeneous data sources and cross-model alignment among multiple foundation models. The methodological framework integrates contrastive learning, optimal transport, and Procrustes alignment to enforce semantic and geometric consistency in a shared representation space.
Contact: E-Mail: anh.t.nguyen |