Lina Kozhaya

This paper compares StrainID long-read amplicon sequencing to short-read amplicons for microbiome analysis, showing similar performance overall but better phylogenetic diversity and taxonomic classification in saliva samples.

This paper develops a fast targeted metabolomics method to analyze indole derivatives in ME/CFS gut microbiome samples, revealing metabolic differences that may serve as biomarkers.

This study develops a synthetic biology toolbox to engineer CAR-T cells with tunable controls, enabling safe and effective cancer immunotherapy through fail-safe mechanisms.

BioMapAI uses a deep neural network to analyze multi-omics data from ME/CFS patients, identifying biomarkers and revealing disrupted biological connections.