Zachary R. McCaw

Zachary R. McCaw is a researcher active in biostatistics, machine learning, and computational biology. His recent work focuses on statistical frameworks for genetic analysis (Nature Computational Science 2025), digital pathology artifact detection (ISBI 2024), and fairness in healthcare ML (CoRR 2024). Key themes include:

• Methodological innovation in genomic data analysis and multi-trait rare variant studies
• Algorithm development for digital pathology and tissue microarray optimization
• Advancing fairness and statistical rigor in healthcare ML applications

His publications in BMC Bioinformatics demonstrate expertise in Gaussian mixture models and incomplete data handling. Collaborations across institutions suggest multidisciplinary engagement with biomedical informatics, health data science, and computational epidemiology.