My research develops practical solutions for spatially explicit, timely, data-driven farm management by modelling the interactions between soil constraints, crop production, and management practices. I specialise in integrating agricultural systems models, machine learning, and geostatistics to understand and connect processes at different scales. I work closely with industry partners to address specific challenges related to soil constraint management.
Technical and Language Proficiency:
R · Python · C# · LaTeX · Markdown · APSIM · ArcGIS · QGIS · ERDAS IMAGINE · ENVI
Mandarin - Native, English – Proficient (IELTS scores 8.5: Listening 9, Reading 9, Writing 8, Speaking 7)
Member: Soil Science Australia · International Union of Soil Science
PhD in Agricultural Science, 2021
The University of Queensland
Bachelor of Environmental Management, Sustainable Development Major, First Class Honours, 2014
The University of Queensland
Academic & Research
As the project postdoc on the Soil CRC soil constraints modelling project
Responsibilities
Responsibilities
14-week industrial placement on the impact of different tillage practices on arbuscular mycorrhizal fungal colonization and root lesion nematodes in Queensland, Australia