Sunil Nagpal

The paper tracks vaginal microbiome changes in bacterial vaginosis after antibiotic treatment to identify microbial patterns linked to treatment resilience.

EnsembleSeq enables simultaneous sequencing of bacterial and fungal amplicons in a single nanopore run, achieving species-level resolution in human saliva samples.

The paper applies natural language processing techniques to SARS-CoV-2 genomes to identify mutation signatures and track semantic changes associated with variants of concern.

The paper uses machine learning to classify SARS-CoV-2 variants by mutation patterns and identifies key mutations associated with disease severity outcomes.

The paper applies Latent Dirichlet Allocation to SARS-CoV-2 genomes treated as documents, identifying 16 amino acid and 18 nucleotide mutation signatures and their global distribution.