Amit K. Chakraborty

Hybrid mechanistic-machine learning models in biosciences: causality, forecasting, and lab-to-field translation.

Biological and environmental systems rarely present a clean choice between first-principles equations and black-box learning. More often, core mechanisms such as disease progression, conservation relations, reaction stoichiometry, or transport direction are known, while key drivers such as behavior, regulation, unresol...