We are combining deep machine learning with ODE and PDE models. We do this both for parameter estimation and for model expansion and discovery. This is a new emerging field of SciML or theory informed (e.g. biology, chemistry, physics) machine learning. This is a new radical approach to modeling that has the perspective of revolutionizing how traditional mathematical and computational modeling of complex systems is performed.