After he finished his undergraduate, Lawrence decided it was not enough and he continued with an MSc in Mathematics and Data Science here at the University of Bath
After he finished his undergraduate, Lawrence decided it was not enough and he continued with an MSc in Mathematics and Data Science here at the University of Bath. Throughout his Master’s, he focused on machine learning and mathematical modelling and collaborated with the Met Office on a project regarding applying machine learning to forecast crop yield shock. During the time of his Master’s, he developed further interest in climate modelling and machine learning leading to a PhD in modelling sea ice and combining it with machine learning. Outside of mathematics, he enjoys movies, sitcoms, gaming, reading and travelling.
Sea Ice with Machine Learning
Lisa Kreusser, Chris Budd
The project addresses the critical issue of the rapidly melting Arctic ice cap, shrinking at a rate equivalent to Scotland’s size annually due to global warming. This decline exacerbates global warming by reducing the ice’s ability to reflect solar radiation. Forecasts indicate a complete melt of Arctic ice within our lifetimes. The objective of this project is to understand the causes and patterns of this phenomenon in sea ice. This will be achieved by analysing existing models and data using numerical and statistical methods, focusing on physics-informed ice analysis and data-informed machine learning models for ice changes. The goal is to develop a comprehensive model that integrates physical principles with data insights.
Students joining SAMBa in 2023