Jürg Hunziker

During his PhD and various postdoc positions, Jürg worked on a variety of topics in applied and environmental geophysics such as interferometry, seismic and electromagnetic forward modeling, optimization (e.g., conjugate-gradient, genetic, and Bayesian algorithms), and deep learning using generative adversarial networks. He is generally happy when a new algorithm needs to be developed and implemented, but he also enjoys the occasional fieldwork.