Wan is a PhD candidate working with Professor Tina Eliassi-Rad and Samuel Scarpino. Her work generally lies in the intersection of deep learning, network science and genomics. The research problems she is currently working on include analysing whole genome sequences using NLP-based methods, optimisation on hypergraphs and genomics data mining. Additionally, she would also love to explore research opportunities in NLP and computer vision. Prior to joining the Network Science Institute, she has worked on local communities detection using stochastic block models and was part of the global mean surface temperature (GMST) reconstruction team working on projects concerning climate change. She received her B.S. in Mathematics from Imperial College London.

Research areas
Office location
Office location
177 Huntington Ave
New College of the Humanities
Devon House
58 St Katharine’s Way
London, E1W 1LP, UK
The Roux Institute
100 Fore St
Portland, ME 04101
Room
Desk
1029O
Boston, MA 02115
*Primarily remote
Portland, ME
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