Our lab’s research focuses on experimental and computational approaches to understanding the neural correlates of consciousness in humans—specifically how sleep affects the brain. With our expertise in state-of-the-art quantitative methods, we develop innovative statistical signal-processing algorithms for analyzing neural data. Our research has direct applications in basic science, biomarker discovery, and medical device development. We are passionate about exploring the full range of neurodiversity in populations and uncovering the underlying neurophysiological factors related to various disorders.

A key aspect of our work involves the development of individualized electroencephalogram (EEG) fingerprints. These unique fingerprints are derived from tens of thousands of brain waveforms recorded during sleep and capture precise patterns of brain activity. They demonstrate individual specificity while maintaining consistency across different nights. In broader populations, these EEG fingerprints provide valuable insights into neurological health and diseases, including the identification of novel biomarkers for conditions like schizophrenia.

Additionally, our lab has made significant contributions to the study of obstructive sleep apnea (OSA) through our groundbreaking "instantaneous AHI" approach. By considering multiple time-varying factors, this dynamic process-based method improves the accuracy of OSA diagnosis and provides precise predictions of respiratory event times.