
Improving prediction of crop yield with long-term meteorological forecasts and data assimilation
How can we use long-term meteorological forecasts and data assimiliation to improve crop yields?
I acquired my BSc degree in Biomedical Engineering at Fudan University in China (Sep. 2012 – Jun. 2016). And I have completed my MSc degree in the joint Neuroscience and Neuroimaging program between the University of Chinese Academy of Sciences and Aarhus University in Denmark (Sep. 2016 – Jun. 2019). My Masters project was focused on sodium MRI technique, including spiral sequence development, non-Cartesian reconstruction, and image correction.
Sodium MRI is a very promising technique as it non-invasively provides quantitative metabolic information, which has the potential to improve the early diagnosis rate and prognosis of some diseases (e.g. brain tumours). During my master’s training, I have more and more interest in sodium MRI.
Fortunately, the JUMPA Joint PhD program gives me the opportunity to extend sodium MRI research. My PhD project (Jul. 2019 – Jul. 2022) will focus on multiple-quantum-filtered sodium MRI sequence development and image post-processing. During my PhD study, I will have the chance to conduct research at both Forschungszentrum Jülich (FZJ) in Germany and the University of Melbourne in Australia.
I just started a new life in Jülich. There is a lot of delicious local food here such as beer and bread, beautiful scenery and friendly people. FZJ is a very international institute, so I can make friends with people from different countries, such as Korea, Spain, India and so on. When I have free time, I like travelling and watching movies.
How can we use long-term meteorological forecasts and data assimiliation to improve crop yields?
How do wheat roots access and take up phosphorus released by algal biomass?
How does attention affect predictive mechanisms in our visual cortex?
How can we improve the efficiency and effectiveness of the sodium MRI medical imaging technique?