The classical phase retrieval problem concerns the reconstruction of a function from the magnitude of its Fourier transform. Phase retrieval is an important problem in many applications such as molecular imaging and signal processing. Today the phase retrieval problem has been extended to include more general reconstructions for magnitudes of samples. In this talk I will present an overview of this field, including some of the latest advances both in the theoretical and computational aspects of phase retrieval.