Carlo Ratti

This paper introduces MicrobiomeCensus, an algorithm to estimate human population size from sewage samples using microbial taxon abundance distributions, showing it outperforms generic algorithms in simulations and field data.

The paper uses longitudinal wastewater sampling to analyze metabolite temporal dynamics across buildings, revealing distinct feature temporal dynamics and enabling building classification.

This study uses genetic and geographic data to analyze migration patterns and population structure in the US, revealing substructure and demographic history among different groups.

This study analyzes 24-hour residential sewage using untargeted genomics and metabolomics to identify human-derived biomarkers and inform public health.

This study assesses the public health risk of antibiotic resistance genes in wastewater by combining metagenomic analysis with risk prioritization across multiple countries.