Shanshan Chen | Associate Professor of Biostatistics

I’m an Associate Professor of Biostatistics at Virginia Commonwealth University. My work focuses on developing statistical methods and software for data collected from wearable devices, ambient sensors, and real-time monitoring systems, with primary applications in physical activity, sleep, energy metabolism, and behavioral health, among other areas. I am particularly interested in translating high-frequency time-series data into accessible, interpretable, and reproducible measures that advance clinical and public health research.

Education

Ph.D, Electrical Engineering, University of Virginia – 2013

Contact

schen3 at vcu dot edu

Research Areas

Statistical Signal Processing · Bayesian Methods · Time-Series Analysis · Wearable Sensing · Digital Health

• Wearable and real-time sensor analytics

  • Methods for processing data from accelerometers, inertial sensors, and ambient monitoring systems
  • Validation and evaluation of algorithms for wearable-derived measures

• Time-series segmentation and change-point detection

  • Methods for detecting structural changes in behavioral and physiolgoical time series
  • Models capturing multi-state and transition dynamics

• Bayesian hierarchical and state-space modeling

  • Latent-state modeling for intensive longitudinal data
  • Uncertainty quantification
  • Information integration of self-reported survey or ecological momentary assessment (EMA) data

• Machine learning and model evaluation

  • Unsupervised learning methods with emphasis on interpretability and generalizability
  • Fair and transparent evaluation and monitoring of predictive models

• Reproducible data workflows and research software

  • Open-source R packages and Shiny applications for reproducible sensor data analytics
  • Tools for automating clinical data workflows

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