Akira Nair

Limits of marker information transfer]{Limits of marker information transfer in cross-panel cytometry imputation

This study evaluates the limits of marker information transfer in cross-panel cytometry imputation, finding that imputation preserves broad lineage classification but not fine-phenotype details, and that patient matching improves cross-platform distribution recovery.

Gene expression inference from cell-free DNA using uncertainty-aware deep learning

This paper develops a deep learning framework to infer gene expression from cell-free DNA, improving reliability and enabling functional genomics in precision oncology.

Deep learning representations of human Immune Health for precision immunology

The paper develops MAESTRO, a self-supervised deep learning framework to transform immune profiles into embeddings capturing immune health, enabling clinical prediction and precision immunotherapy.