معرفی
Yang Ning is an Associate Professor and Director of Graduate Studies in the Department of Statistics and Data Science at Cornell University. His expertise lies in developing statistical methods and theory for analyzing high-dimensional, complex, and heterogeneous data. He earned a Bachelor's in Mathematics from Fudan University (China) and a Ph.D. in Biostatistics from Johns Hopkins University. His research bridges mathematical statistics, machine learning, and stochastic optimization, with applications in genomics, neuroscience, epidemiology, and clinical trials.
Education:
- Bachelor's in Mathematics, Fudan University (China)
- Ph.D. in Biostatistics, Johns Hopkins University
Research focuses on quantifying uncertainty in modern datasets through confidence intervals and hypothesis testing. Key themes include causal inference, distributed statistical methods, and semi-supervised learning. He has contributed to covariate balancing techniques and high-dimensional statistical theory.
Notable achievements include the David Byar Young Investigator Award. His work emphasizes methodological rigor and practical applications, particularly in healthcare and biomedical domains. As Director of Graduate Studies, he oversees academic programs and student development within the department.
