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Living matter can self-organize into intricate spatial structures and carry out complex biological functions. A central challenge in theoretical biophysics is to identify models that allow us to predict and control the growth and behavior of multicellular systems. In the first part of this talk, I will show how classical continuum models can be applied to guide the design of self-growing bacterial materials. In the second part, we will explore how spectral representations, combined with multi-scale dynamical systems inference, can be used to predict worm locomotion directly from neural activity.