As Statistics and Data Science continue to evolve in the big data era, we face new challenges that call for novel interdisciplinary research combining statistics, machine learning, econometrics, computer science, and biology. This 3-day conference brings together leading researchers from these various fields. They will offer new perspectives and methodologies, and address the opportunities and challenges of 21st century Data Science. The conference has 12 sessions, with approximately 45-48 speakers. The topics include high-dimensional statistics, nonparametric statistics, deep neural networks, network data analysis and graphical models, reinforcement learning, ensemble learning, statistical genetics and single cell data analysis. IMS Representative(s) on Program Committees: Tracy Ke