Cang Hui

This study tracks microbiome succession in mice, showing a shift from strong to weak interactions linked to colonizer-dependent antimicrobial resistance.

This paper develops a Dengue-Informed Neural Network (DINN) that integrates physics-informed neural networks with mechanistic models to forecast dengue incidence by inferring mosquito infection dynamics from human case data.

The paper develops a Bayesian framework to infer metabolite-bacteria interactions in microbial communities using dynamic network models and time-series data.

The paper reveals how thermodynamic principles shape the biophysical properties of proteins through allosteric regulation and evolutionary tradeoffs.

This paper shows that altruism can evolve without assortment mechanisms under fluctuating selection in limited populations, challenging Hamilton's rule.

The paper examines spatial sorting of dispersal-related traits in invasive starlings in South Africa and Australia, finding spatial sorting in Australia but not South Africa, possibly due to differences in dispersal rates and genetic factors.

The paper introduces zetadiv, an R package for analyzing compositional change using zeta diversity, and demonstrates its application to bird composition data in Australia.