I graduated with a M.Sci. in Physics from the University of Birmingham in 2022. My fourth-year research project was in deep learning for efficient detection and parameter estimation of massive black hole binary mergers in the future Laser Interferometer Space Antenna mission, led by the European Space Agency. I was awarded the SWJ Smith Prize as the Physics M.Sci. graduating student with the highest overall mark.
In the summer 2019 I worked as a Quantum Research Intern at D-Wave Systems, a quantum computing company based in Burnaby, Canada. In the summer 2021 I worked as a Quantum Science Intern at Riverlane, a quantum software company based in Cambridge, UK, that is building an operating system for quantum computers. I worked on improving resource requirement estimation for performing quantum computations.
Current Research
Multi-scale seismic hazard assessment with full-wave modelling and deep learning:
I am interested in methods for combining existing estimates of seismic velocity distributions, efficiently transferring information content from small-scale features through to wavefield simulations, and for optimizing this end-to-end information flow to account for the features that have a significant effect on ground shaking.
Publications
From previous work: N. S. Blunt, J. Camps, O. Crawford, R. Izsák, S. Leontica, A. Mirani, A. E. Moylett, S. A. Scivier, C. Sünderhauf, and P. Schopf et al., Perspective on the current state-of-the-art of quantum computing for drug discovery applications, J. Chem. Theory Comput. 18, 7001 (2022). E. M. Lykiardopoulou, A. Zucca, S. A. Scivier, and M. H. Amin, Improving nonstoquastic quantum annealing with spin-reversal transformations, Phys. Rev. A 104, 012619 (2021).
