Current Projects

KIR Genetics and Severe COVID
Investigating killer cell immunoglobulin-like receptor (KIR) haplotype associations with COVID-19 outcomes using All of Us genomic data. Work involves parallelized variant calling pipelines and genetic association testing in immunosuppressed populations.

Long COVID Phenotyping
Developing EHR-based phenotype definitions and risk scores for post-acute sequelae of SARS-CoV-2 infection (PASC). Integrating survey data with clinical encounters to identify predictive factors and validate measurement approaches.

Host Genetics in Infectious Disease
Genome-wide association studies examining how human genetic variation influences susceptibility to respiratory infections and other ID outcomes, using large-scale biobank datasets.

Publications

Link to Google ScholarORCID

Selected recent work: Waxse BJ, Rao S. Data science for pediatric infectious disease: utilizing COVID-19 as a model. Curr Opin Infect Dis. 2025;38(5):493-498. PMID: 40748012

Waxse BJ, Bustos Carrillo FA, Tran TC, Mo H, Ricotta EE, Denny JC. Computable phenotypes to identify respiratory viral infections in the All of Us research program. Sci Rep. 2025;15(1):18680. PMID: 40437102

Goleva SB, Williams A, Schlueter DJ, Keaton JM, Tran TC, Waxse BJ, Ferrara TM, Cassini T, Mo H, Denny JC. Racial and ethnic disparities in antihypertensive medication prescribing patterns and effectiveness. Clin Pharmacol Ther. 2024;116(6):1544-1553. PMID: 39051523

Mo H, Channa Y, Ferrara TM, Waxse BJ, Schlueter DJ, Tran TC, Awan AH, Goleva SB, Williams A, Babbar A, Stubblefield O, Keaton JM, Larson EA, Wilke RA, Denny JC. Hyponatremia associated with the use of common antidepressants in the All of Us Research Program. Clin Pharmacol Ther. 2025;117(2):534-543. PMID: 39540435

Presentations

2024

  • ASHG: Identification and Validation of Common Respiratory Infections in All of Us 2025
  • IDWeek: Higher Step Count is Associated with Reduced Risk of Long COVID

Tools

Scholia.fyi - AI-powered platform for critical analysis of academic papers. Helps researchers evaluate methodology, interpret results, and identify limitations in primary literature.