Christine L. Kuryla

About

I specialize in quantifying health using physiological time series data and other biomarkers. My research integrates complexity science, network physiology, and health to develop innovative methods for understanding stress response and intrinsic health. My primary work focuses on physiological complexity and resilience, leveraging datasets including clinical/research grade time series (Holter), wearable devices (Oura, Fitbit), experimental studies (MiSBIE), and large-scale population studies (All of Us). I apply tools like entropy measures, different time series, and functional data analysis to uncover new ways of characterizing health, and plan on incorporating more methods. I'm particularly interested in how environmental factors influence physiological complexity and resilience. I also have a strong foundation in omics data analysis, particularly in systems biology and integrative health research. By combining physiological signals with genomic, transcriptomic, and metabolomic data, I aim to bridge the gap between molecular-level insights and whole-body health dynamics. Separately, I am conducting research on self-rated health (SRH), a powerful measure of individual well-being a

Experience

Education