Tianjian Qin

Online Resume

Download Full CV

Tianjian Qin

Computational Biologist & Data Scientist

image

I develop machine learning and deep learning methods, statistical models, simulation frameworks, and research software for complex biological systems. My work spans evolutionary biology, ecology, infectious disease epidemiology, and One Health research. I work with domain experts to turn scientific questions into transparent models, scalable pipelines, and usable tools.


Education

PhD in Theoretical Biology

University of Groningen, Netherlands | 2019 - 2026

Thesis: Diversification Models and Neural Inference. Supervisors: Rampal Etienne, Luis Valente, and Koen van Benthem.

MSc in Wetland Ecology

Beijing Forestry University, China | 2016 - 2019

Research in wetland ecology and invasion biology. Supervisors: Hongli Li and Feihai Yu.

BSc in Marine Biology

Nanjing Normal University, China | 2012 - 2016

Undergraduate training in marine biology, aquatic ecosystems, ecology, and evolution.

Research Experience

Postdoctoral Researcher

Wageningen University & Research, Infectious Disease Epidemiology Group | 2025 - Present

I develop generative and predictive models for dynamic livestock movement networks, build reproducible HPC pipelines, and translate scientific questions into open software, visual analysis, and decision support tools, including HerdLink.nl.

Doctoral Researcher in Theoretical & Computational Biology

University of Groningen | 2019 - 2026

I developed the EVE stochastic birth-death model, high-performance simulation and inference methods, and EvoNN, an ensemble learning framework for parameter inference from phylogenetic trees.

MSc Researcher in Wetland Ecology & Invasion Biology

Beijing Forestry University | 2016 - 2019

I conducted field surveys across 18 Chinese provinces and built automated image analysis and phylogenetic reconstruction workflows for quantitative studies of invasion resistance and community assembly.

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 | 2026

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.


Choose Colour