Guangqi Li

Data scientist and quantitative researcher with a PhD in Ecology and over eight years of postdoctoral experience applying machine learning, statistical modelling, and data analytics to complex environmental and biological datasets. Proficient in Python, R, SQL, and cloud-based tools, with experience in model deployment, automation, and visualization. Recently completed a postgraduate machine learning module at the University of Stirling, expanding knowledge in supervised and unsupervised learning, feature engineering, and predictive modelling.

Strong communicator skilled at translating data-driven insights into actionable outcomes for diverse stakeholders.

Postdoctoral Research Fellow at University of Stirling (2019-07 – 2024-09)

• Led quantitative modelling of tree growth, forest productivity, and environmental risk assessment using advanced statistical methods
• Conducted and managed data collection and quality assurance from field to analysis
• Designed and implemented analysis pipelines for high-dimensional datasets using R and Python
• Collaborated on interdisciplinary projects linking biogeochemistry, climate science, and modelling
• Authored and co-authored multiple peer-reviewed papers and contributed to NERC-funded project proposals

Postdoctoral Research Assistant at University of Reading (2015-08 – 2019-06)

• Developed statistical models of global tree growth and climate responses using large-scale datasets
• Implemented model evaluation workflows integrating CMIP5 simulations and observational data
• Conducted Bayesian and mixed-effects analyses for time-series and spatial datasets
• Created reproducible R scripts and Python workflows for climate-biology data visualisation
• Coordinated with international partners to harmonise methodologies and ensure data reproducibility

PhD in Ecology (Statistical Modelling & Biogeochemistry) – Macquarie University (2012-01 – 2015-07)

MSc in Ecology (Quantitative Environmental Science) – Institute of Botany, Chinese Academy of Sciences (2007-09 – 2010-11)

Postgraduate Module in Machine Learning (part of MSc Data Science) – University of Stirling (2024-01 – 2024-12)

BSc in Forestry – Beijing Forestry University (2003-09 – 2007-06)