Sinyoung graduated from the University of Edinburgh with an MSc in Computational Applied Mathematics in 2020. During this time, she focused on applied mathematics and particularly in probability and statistics. Throughout her time at Edinburgh, she joined some projects, such as Mean Hitting Time and her dissertation was about the dynamics of social balance on random graphs. She is interested in Data Science and Problems with Climate change. Outside of Maths, Sinyoung enjoys cooking, travelling and some activities, swimming, and walking.

Research project title:
Developing new tools in graph-based signal analysis

Supervisor(s):
Matt Nunes, Sandipan Roy

Project description:
In many settings, data naturally arise as connections between individual nodes in a graph. Alternatively, data arising in other spaces (such as images) can be coerced into a graph-like structure for analysis, the suggested advantage being that one can unlock alternative information such as dependency structure not apparent in the original domain, or that network sparsity can be exploited for more straightforward analysis. The aim of this project is to look at methods that analyse graph-based data using signal analysis, especially wavelet transform and expand on these further.

Fun fact(s):

• As a child, I loved swimming and one of my dreams was to become an athlete. 
• I can speak 5 languages. 
• I am not a big fan of sweets.