Tianjian QinPhD
Computational biology & AI
Life is interconnected.I build tools to understand how.
Research experience
Wageningen University & Research
Postdoctoral Researcher
Develop AI and computational methods for One Health and pandemic preparedness, including temporal networks, network-phylodynamic inference, spatiotemporal epidemic modelling and neural/hybrid AI for detection and projection. Build reproducible HPC pipelines and interactive web tools.
University of Groningen
Doctoral Researcher in Theoretical & Computational Biology
Developed simulation and inference methods for evolutionary diversification and research packages in R, C++ and Python, with CPU/GPU computing, testing, documentation and open releases.
Education
University of Groningen
PhD in Theoretical Biology · Groningen, Netherlands
Diversification Models and Neural Inference
Beijing Forestry University
MSc in Wetland Ecology · Beijing, China
Wetland invasion resistance and community assembly, field surveys across 18 Chinese provinces, controlled experiments, image analysis and phylogenetic workflows.
Nanjing Normal University
BSc in Marine Biology · Nanjing, China
Talks & workshops
Networks, Transmission, and Control
WUR MIND Day 2026 · Impulse Building, Wageningen
Hosting a workshop on trade networks · 14:10–15:10
From Livestock Movements to Infection Dynamics: Mechanism-Informed Learning for Synthetic Contact Networks
ModAH Conference 2026 · Nantes, France
Recognition
First-Class Academic Performance Award
Beijing Forestry University
Graduate Academic Innovation Award
Beijing Forestry University
Get in touch
Working on an interesting question in biology, networks or AI? Let’s connect.
tianjian.qin@wur.nl
