Bio

An interdisciplinary scholar, Amanda’s research intersects medicine, public health, and environmental health, utilizing sophisticated statistical and machine-learning methodologies. Her dry lab is distinguished for its cutting-edge work in computational toxicology, microbiome research, and cystic fibrosis. We specialize in dissecting high-dimensional biomedical data, encompassing electronic health records and next-generation sequencing, to illuminate the complexities of human health and disease. Our work stands as a testament to the power of interdisciplinary research in advancing healthcare frontiers.

Awards

2023-24, Provost’s Faculty Fellow

2018, Member of Chancellor’s Faculty Excellence Program

2019, 2020, 2022 Thank a Teacher, Office of Faculty Excellence

Publications

• Computational framework for therapeutic target discovery via perturbation simulation: application to cystic fibrosis airway disease , Briefings in Bioinformatics (2026)
• Hierarchical Multi-Omics Trajectory Prediction for Fecal Microbiota Transplantation: A Novel Machine Learning Framework for Small-Sample Longitudinal Multi-Omics Integration , bioRxiv (Cold Spring Harbor Laboratory) (2026)
• Linking Climate Features to Human Life Expectancy in the United States: Implications for Integrated Climate and Health Policies , The Journal of Climate Change and Health (2026)
• Computation of Ancestry Scores with Mixed Families and Unrelated Individuals , UNC Libraries (2025)
• Detecting Algorithmic Bias in ICU Clinical Decision: A Doubly-Robust Framework for Auditing Treatment Recommendation Disparities , medRxiv (2025)
• Genetic Modifiers of Cystic Fibrosis Lung Disease Severity: Whole-Genome Analysis of 7,840 Patients. , UNC Libraries (2025)
• HAP-SAMPLE2: data-based resampling for association studies with admixture , Bioinformatics (2025)
• Identifying novel therapeutic targets in cystic fibrosis through advanced single-cell transcriptomics analysis , Computers in Biology and Medicine (2025)
• MagicalRsq: Machine-learning-based genotype imputation quality calibration , UNC Libraries (2025)
• Organophosphate Flame Retardants Disrupt Autism-Relevant Gene Networks Across Development: A Cross-Species Multi-Omics Study , Environmental Research (2025)