My research area lies at the intersection of statistical signal processing, information theory, and machine learning. Specific topics include resource-efficient distributed testing and computing for large-scale data, trustworthy machine learning under distribution shifts, learning from non-stationary time series, and their applications to computational biology, internet of things (IoT), and healthcare.