Wanli Qiao

Geometric features embedded in point clouds are interesting to researchers in many scientific fields such as geoscience, astronomy, and neuroscience. Qiao’s research interests include statistical inference, probability theory and computational algorithms related to these geometric objects. His collaborative/applied work currently focuses on studying the geometric and topological structures of protein energy landscapes. His research is supported by the National Science Foundation.

Research interests

• Nonparametric statistics
• Machine learning
• Extreme value theory