Wan He

Wan is a fifth-year PhD student 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.