I am pursuing a Doctor in Philosophy at Imperial College London in the Department of Earth Science and Engineering at Imperial College London. The Ph.D. aims to integrate remote sensing, machine learning, and advanced ocean modeling for the improved prediction of coastal change.
During the first period of my PhD I am focussing on creating publicly available bathymetric datasets and hydrodynamic models for the Chagos Archipelago. As this work progresses additional levels of data can be added to this project from understanding island changes through erosion/deposition patterns, etc.
Further areas will be updated to this page in the future as the work develops.
I have completed a BSc in Geophysics at Imperial College London with first-class honors and moved on to complete an MSc in Applied Computational Science with Merit at Imperial College London to bridge the skill gap found between these two subjects.
During my time at Imperial I have contributed to various research projects and initiatives, including but not limited to:
- 2018-2019 UROP in turbulent ocean flow modeling which aimed to understand the limits to using remote sensed imagery for the recovery of flow information through particle tracking methods.
- 2019-2020 Student Shapers in which we developed educational coding resources to support the department's modules and provide a central space for program introductions, research summaries, and more
- 2020-2021 ACSE MSc dissertation in understanding the behavior and limits of the Random Forest algorithm for Optical Bathymetry Derivation