Tianjian Qin

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Tianjian Qin

Computational Biologist & Data Scientist

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Computational scientist specializing in machine learning, probabilistic modeling, and high-performance computing. I build scalable, reproducible pipelines for inference, prediction, and simulation, with a strong interest in biological and environmental observation systems. My work spans macroevolutionary diversification, ecological community dynamics, and infectious disease epidemiology.


Education

PhD in Evolutionary Life Sciences

University of Groningen (GELIFES) | 2019 - 2026

Research on stochastic diversification processes and neural network–based inference from phylogenetic trees.

MSc in Ecology

Beijing Forestry University | 2016 - 2019

Research on wetland/aquatic communities and invasion biology, integrating phylogenetic metrics, community composition, trait information, and spatial/environmental data.

BSc in Biology

Nanjing Normal University | 2012 - 2016

Broad foundation in marine biology, ecology, and evolution, with training in aquatic ecosystems and early programming/data analysis.

Research Experience

Post-Doctoral Researcher

Wageningen University & Research | 2025 - Present

I build reproducible HPC pipelines and machine-learning “digital twin” models for spatiotemporal observations and dynamic livestock trade networks, and develop interactive tools (HerdLink.nl) for domain experts.

Doctoral Researcher

University of Groningen | 2019 - 2026

I develop stochastic diversification models and high-performance simulation/inference and deep-learning frameworks for phylogenetic analysis, supported by reproducible open-source scientific software.

Researcher (MSc)

Beijing Forestry University | 2016 - 2019

I conducted nationwide field surveys and controlled experiments to quantify wetland invasion dynamics, integrating GIS-based modeling, phylogenetic metrics, and automated analysis pipelines.

Recent Publications

Identifying evolutionary relatedness effects on diversification from phylogenies using neural networks

bioRxiv (preprint) | 2026

Qin, T.; van Benthem, K.; Valente, L.; Etienne, R.S.

Parameter estimation from phylogenetic trees using neural networks and ensemble learning

Systematic Biology | 2025

Qin, T.; van Benthem, K.; Valente, L.; Etienne, R.S.

Impact of evolutionary relatedness on species diversification and tree shape

Journal of Theoretical Biology | 2025

Qin, T.; Valente, L.; Etienne, R.S.


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