Climate models, wildfire events, climate change activities, mathematical and physical principles, and boundary layer processes. 

Zhongwei's PhD project aims at building a seamless, globally-applicable framework for assessing past, present and future risk in wildfire activity. Focus throughout will be given to a series of important, often overlooked, conceptual and technical challenges in event attribution, including validation and bias-correction of climate models. Case studies will demonstrate the value of linking attribution of recent wildfire events with future risk assessment. 

Zhongwei graduated from the University of Leeds with a master of research degree in Climate and Atmospheric Science within the School of Earth and Environment in 2018. Previous to her move to Leeds, Zhongwei completed two bachelor degrees in Applied Mathematics and Meteorology at the University of Reading and in Mathematics and Applied Mathematics at the Nanjing University of Information Science and Technology (NUIST) in China from 2013 to 2017.

In Sep 2019,  Zhongwei joined CAWR and now works on climate models and wildfire events, funded by Trailblazers program.