Jennifer Dy

The paper evaluates splicing models, identifies performance gaps, and introduces a cell-type-specific model for improved splice site prediction in human airway epithelial cells.

This study introduces NTFA, a computational method to analyze degeneracy in fMRI data, demonstrating its ability to uncover degeneracy assumptions in simulated datasets.

The paper develops a machine learning-based method to determine optimal sampling depth for complex environmental systems using single-cell Raman spectroscopy data from EBPR systems.