Mathematics OF Data Science 

Our mission is to form a premier cluster at the forefront of the mathematical research of data science. We aim to advance knowledge and discovery in data science by developing novel mathematical theories and computational methods, extending interdisciplinary collaborations with researchers in science, engineering, and health, and fostering a culture of intellectual curiosity, diversity, and inclusion. Organized into two groups — Statistics (STAT) and Mathematics of Imaging & AI (MIA), our cluster shares a commitment to excellence in research and education, and our expertise emphasizes a balance among mathematical rigor, scientific value, and industrial relevance. In the era of AI and big data, we are making constant efforts to address fundamental challenges in data science such as uncertainty, bias, predictiveness, and interpretability, and we strive to train the next-generation data scientists and applied mathematicians who can make an impact in academia, industry, and society.