Tiffany completed a MSc in Theoretical Physics at the Perimeter Institute in Canada. During her Masters she undertook a short research project on turbulent gravity in the framework of the fluid/gravity duality, and co-authored a paper on the shape dependence of entanglement entropies for free lattice bosons.
Her main research interests are in deep learning theory, numerical methods for stochastic differential equations and Bayesian statistics. She is currently working on developing new parameterization methods for neural networks, based on discretized stochastic differential equations, with the help of her supervisor, Professor Benedict Leimkuhler. Outside of mathematics, she enjoys travelling, hiking, and martial arts.