Tianjian Qin

The paper introduces NetForge, a generative framework that creates synthetic livestock contact networks preserving infection dynamics by combining trade structure with temporal constraints.

This paper evaluates how neural networks can infer diversification mechanisms from phylogenies under evolutionary relatedness dependence, finding moderate classification accuracy and parameter identifiability issues.

This paper introduces a neural network ensemble method for estimating diversification parameters from phylogenetic trees, showing improved performance and robustness compared to maximum likelihood estimation.