Tiffany completed a MSc in Theoretical Physics at the Perimeter Institute for Theoretical Physics in Waterloo, 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 numerical methods for SDEs and Bayesian statistics, but she is also eager to utilize machine learning tools such as neural networks during her PhD. She is currently working on applying Bayesian inference techniques to stochastic models (in particular Langevin dynamics models) for flocking, with the help of her supervisor, Professor Benedict Leimkuhler. Outside of mathematics, she enjoys travelling, hiking, and martial arts.