Zachary B. Haiman

This paper characterizes the RBC proteome across 13,091 donors, identifies genetic regulators of molecular aging, and shows that aging clocks predict hemolysis, transfusion outcomes, and donor activity.

The paper defines the Band 3 N-terminus interactome in red blood cells, revealing its role in hypoxic adaptation through BLVRB-dependent S-nitroso transfer and metabolic remodeling.

The paper investigates how G6PD variants affect red blood cell storage, transfusion performance, and recipient physiology using multiple datasets and experimental models.

The paper develops a workflow to reconstruct dynamic transcriptional regulatory networks from public gene expression data using Bacillus subtilis as a case study.

The paper identifies genetic polymorphisms and metabolite levels in stored red blood cells that correlate with hemolysis and transfusion outcomes.

The paper introduces RBC-GEM, a comprehensive metabolic reconstruction of human red blood cells, curated from proteomic data and expanded significantly over previous models.

This paper introduces a computational framework to decompose biochemical reaction networks into timescales, validating it on kinetic models and glycolytic pathways to reveal biologically interpretable dynamics.

MASSpy provides a framework for dynamic metabolic modeling using mass action kinetics, integrating with existing tools and supporting simulation and uncertainty quantification.

The paper characterizes the catalytic potential of glycolytic kinases in human red blood cells and shows how their dynamic interactions contribute to disturbance rejection and homeostasis.