Training Postdocs

Executive Committee

Kalisnik Verovsek

Professor Kalisnik Verovsek work develops and applies topological methods for analyzing data from a variety of disciplines. These methods either 'measure the shape' of the data, that is count the occurrences of patterns within the data, or they build a combinatorial representation of the shape of the data that can be combined with other methods. 

Division of Applied Mathematics

Professor Kinnaird's research studies the dimension reduction problem, representing high-dimensional and noisy sequential data as a low-dimensional object that encodes relevant information. She applies her work to tasks from the interdisciplinary field of Music Information Retrieval (MIR), such as locating the chorus of a given musical song or finding all copies of a particular recording of a song. She also has started work in other areas of Cultural Analytics.