Tiffany has a Physics BSc (Leiden University), Geophysics MSc (joint from TU Delft, ETH Zurich, RWTH Aachen), and a Theoretical Physics MSc (Perimeter Institute). For her Applied Mathematics PhD at the University of Edinburgh (joint with Heriot-Watt) she uses techniques from molecular dynamics and stochastic differential equations to develop new optimisation schemes for the training of deep neural networks. She's eager to talk about how to improve ML research in general and data applications that are not CIFAR/ImageNet.