Ali Emadi

The paper introduces ecCLIP for high-resolution RBP binding maps and Pythia for structure-aware RNA-protein interaction modeling, improving RNA half-life prediction and variant effect assessment.

The paper applies a Neyman-Pearson framework to single-cell TNF-NF-κB signaling data to quantify decision-making performance and detect pathway failures.

The paper models and computes decision making errors in a molecular signaling system with two outputs using single cell measurements of NFκB and ATF-2 concentrations.