Training Postdocs

Executive Committee

Sara
Kalisnik Verovsek
Mathematics

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. 

Katherine
M.
Kinnaird
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.