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Primary faculty

Yuanyuan Luan

Assistant Professor

PhD

Additional info:

Yuanyuan Luan develops biostatistical methods for analyzing complex, high-dimensional data from wearable devices and other sources where measurement error can distort conclusions. Her work focuses on reliable inference for generalized functional regression models, with applications to physical activity, diet, obesity, type 2 diabetes and chronic disease research.

Luan’s research addresses challenges that arise when exposure measures are collected as continuous curves or repeated signals, such as accelerometer data from fitness trackers. She develops regression calibration and measurement-error correction approaches that help researchers account for error in functional and scalar covariates, improving the accuracy of studies that link health behaviors to disease outcomes.

Before joining WashU, Luan was a postdoctoral fellow in biostatistics at the Indiana University School of Public Health, in the Department of Epidemiology and Biostatistics. She contributed to NIH-funded work on measurement error correction for wearable device-based physical activity and self-reported dietary intake. Her recent work includes generalized functional linear regression models with functional and scalar covariates prone to measurement error, and scalable approaches for correcting measurement error in wearable functional data.

Areas of focus:

  • Biostatistical methods
  • Functional data analysis
  • Measurement error correction
  • Wearable device data
  • Digital biomarkers and chronic disease

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