This research reconstructs viral transmission trees using genomic sequencing data to study how human behavior shapes infectious disease outbreaks. Analyzing COVID-19 transmission in Iceland revealed differences in infectiousness across quarantined and demographic groups, informing vaccine distribution strategies that improved population-level protection and influenced national public health policy.

This research examined how COVID-19 viral loads change over time across saliva, throat, and nasal samples. The study found that different sample types detect infection at different stages, demonstrating that testing method matters. These findings could improve diagnostic strategies for COVID-19, influenza, RSV, and future emerging respiratory viruses.

This research develops an inhalable treatment for lung infections using nanocrystalline silver with both antimicrobial and anti-inflammatory properties. By adapting proven skin-based technology for respiratory delivery via nebulization, it targets both pathogens and harmful inflammation, addressing a major gap in lung disease treatment affecting over a billion people worldwide.

Acute respiratory distress syndrome (ARDS) causes severe breathing failure and kills tens of thousands annually, yet has no effective treatment. This research studies how ARDS disrupts lung surfactant, a critical stabilizing substance in the lungs. By identifying immune-related factors that damage surfactant, the work aims to develop the first targeted therapeutic cure.

This research investigates COVID-19 stigma among survivors in Nepal during the pandemic. It found that one-quarter experienced discrimination, social exclusion, and psychological distress. Misinformation, weak health-system preparedness, and lack of public trust fuelled stigma. The study argues that future pandemic preparedness must address social stigma alongside healthcare capacity.

This research develops a rapid, light-based method to study viral fusion, the first step of infection. By applying split NanoLuc technology to HIV, it reveals strain-specific fusion behaviors and unexpected regulatory steps, providing tools that can accelerate responses to future pandemics such as COVID-19.

Variants weaken current COVID vaccines because they target parts of the spike protein that mutate. This project uses nanoparticles displaying engineered versions of the conserved RBD region to steer the immune system toward making broadly protective antibodies. Computational design helps optimize immune targeting, potentially eliminating yearly boosters and protecting against future coronaviruses.

This research develops a computational method for detecting hidden RNA viruses within existing RNA sequencing datasets. By identifying conserved viral protein signatures, the approach enables large-scale discovery of previously unknown viruses, improving understanding of viral diversity, disease mechanisms, and future opportunities for diagnostics, surveillance, and antiviral treatment development.

This study tracked viral load in saliva, throat, and nose samples collected daily from newly infected individuals. The findings show each sample type follows a distinct viral-load trajectory, with saliva and throat detecting infection earlier than nose. This has major implications for COVID test accuracy, sampling strategies, and future pandemic preparedness.