My research focuses on developing methodologies with theoretical guarantees for big data reduction and small data analytics, and applying these methods within an algorithmic workflow to solve real-world problems. My broad research interests are in engineering statistics, machine learning and experimental design, with applications to mechanical engineering, biomedical engineering, financial engineering, genetics, and signal processing.