Heather Wells

This paper predicts filovirus host susceptibility in bats by integrating molecular binding data with ecological and phylogenetic information across 1,300 species.

The paper introduces BDXR, a method for antimicrobial resistance prediction, achieving high accuracy across six species-drug pairs in the CAMDA 2026 challenge.

The paper develops a hybrid model showing that recombinant viral lineages succeed based on timing and parental population dynamics, not just fitness.

The paper introduces BDXR, a tool for predicting antimicrobial resistance from whole genome sequencing, achieving high accuracy in the CAMDA 2025 challenge.

This paper introduces a dengue fever forecasting model for Brazil using multimodal data, achieving accurate monthly predictions up to 6 months ahead.

This study uses rapid diagnostics and metatranscriptomics to analyze SARS-CoV-2 infection, revealing viral evolution, host responses, and drug interactions in NYC samples.