I study representation learning for dynamical systems with applications to the life sciences, from the genetic to the behavioral levels. Some major currents include the unsupervised inference of governing equations and bifurcation prediction in cell cycle dynamics. Other recent work has explored machine learning methods for optimal control, particularly of systems of coupled oscillators, which we have used to model the cortical processes underlying higher visual cognition. Here is an overview of ongoing and former work: