Anjali Agarwal

This paper develops a Dynamic Bayesian Network model to analyze multi-fault behavior in signaling pathways and prioritize drug interventions based on efficiency and burden scores.

This paper introduces RADICaL, a deep learning framework that infers single-trial neural population dynamics from calcium imaging with sub-frame temporal resolution, showing improved accuracy in synthetic and real mouse data.