What’s happening inside a cancer tumor/tissue? Among the twenty thousand genes in the human genome, which ones are drivers of cancer and which can be targets of cancer treatment? Data mining can provide answers. Professor Jun Li’s research is devoted to answering these questions by mining data generated from a high-throughput technique called next-generation sequencing.
Professor Li is thrilled in the challenge and opportunity in developing novel data mining algorithms that can turn data into actionable intelligence for cancer treatment. Professor Li received his Ph.D. from the Department of Statistics at Stanford University, where his Ph.D. advisor was Robert Tibshirani. He joined the University of Notre Dame in 2012 as Assistant Professor in the Department of Applied and Computational Mathematics and Statistics. A passionate teacher, Professor Li has taught multiple data science courses, including Statistical Methods in Data Mining and Prediction, Applied Generalized Linear Models, and Statistics in the Computer Era. An avid angler, Prof. Li’s dream is to become the best angler among statisticians, and the best statistician among anglers. For more information about Professor Li, you can visit his website.