Juan Díaz‐Colunga

The paper measures bacterial growth in combinatorial nutrient environments to estimate resource interactions and shows that simple models can predict growth in novel conditions.

The paper introduces a low-cost method to assemble all possible combinations of microbial strains, demonstrating it with eight Pseudomonas aeruginosa strains to identify optimal consortia.

This paper investigates short-term tumor evolution prediction using cancer progression models, finding that specific genotype and fitness landscape characteristics improve prediction accuracy.