B. Vibishan

This paper develops a deterministic model to study how competition and phenotypic plasticity affect adaptive therapy outcomes in cancer, showing that phenotypic transitions can complicate therapy and that asymmetric competition benefits treatment.

This study shows that dispersal evolution in Drosophila melanogaster under protein-poor larval diets leads to distinct trait changes compared to standard diets.

The paper evolves Drosophila melanogaster without microbiomes for 54-57 generations and finds minimal trait changes despite initial selection pressure.

This paper develops a resource-based mechanistic model of castration-resistant prostate cancer (CRPC) to understand how cell competition and resource dynamics influence tumor relapse.

This study shows that selecting Drosophila melanogaster for dispersal under larval malnutrition results in a non-monotonic dispersal kernel with peak frequencies at intermediate distances.