Tengyuan Liang works on problems at the intersection of statistical inference, machine learning & optimization. His main research focuses on the mathematical and algorithmic aspects of inference and learning under computational budgets, especially for large-scale datasets. Specific topics include: computational difficulty and efficiency in statistical inference, statistical learning theory, and high-dimensional statistics. He is also interested in network science, online learning, stochastic optimization, and applied probability. His research has been published in top statistics journals,...