Tianjian Qin
- +31 62-721-5049
- tianjianqin@outlook.com
- qtj.me
- Netherlands
My journey began with marine biology and expanded through academic excursions into ecology and evolution. I traveled across 18 provinces in China during my master's program to witness biodiversity firsthand. Then, my interest in theoretical research led me to pursue doctoral studies in phylogenetics and diversification models, aiming to understand global biodiversity patterns through stochastic processes. Now, having explored ecological and cultural diversity in 37 countries, I firmly believe in grounding theory in reality, striving to bridge empirical research with theoretical frameworks through innovative approaches.
Education
PhD Candidate
Studying systems biology and evolution, using stochastic diversification models and machine learning techniques to understand global biodiversity patterns.
Master of Science
Conducted field surveys and greenhouse experiments to study wetland ecology and invasive species, supplemented by geographical and phylogenetic analyses.
Bachelor of Science
Explored marine biology with a strong interest in ecology and evolution, laying the foundation for advanced studies.
Recent Projects
Identifying Evolutionary Forces Shaping Phylogenies
Tianjian Qin, Koen van Benthem, Luis Valente, Rampal Etienne
Manuscript in progress
Investigate whether we can identify evolutionary forces shaping phylogenies by leveraging neural networks to perform parameter estimation and evolutionary scenario classification.
Parameter Estimation from Phylogenetic Trees Using Neural Networks
Tianjian Qin, Koen van Benthem, Luis Valente, Rampal Etienne
Submitted to Systematic Biology
Explore performance and robustness of neural network approaches for estimating diversification parameters from phylogenetic trees, using ensemble learning strategies.
DOI: https://doi.org/10.1101/2024.08.02.606350
Impact of Evolutionary Relatedness on Species Diversification
Tianjian Qin, Luis Valente, Rampal Etienne
Submitted to Journal of Theoretical Biology
Develop a new birth-death model demonstrating how evolutionary relatedness influences species diversification dynamics at different scales.
DOI: https://doi.org/10.1101/2023.11.09.566365
Predicting Wetland Community Resistance to Alternanthera philoxeroides Invasion
Tianjian Qin, Jian Zhou, Yan Sun, Heinz Müller-Schärer, Fangli Luo, Bicheng Dong, Hongli Li, Feihai Yu
Published on Plant Biology
Investigate whether phylogenetic diversity is a better proxy than species richness in terms of explanatory power of predicting local wetland plant community's resilience to invasive species.
DOI: http://doi.org/10.1111/plb.13101