Abstract

Data collection and interpretation are essential first steps for solving problems. Misinterpretation can lead to incorrect or ineffective solutions. Data collection continues to explode exponentially across scientific and societal domains, yet the ability to analyze and extract useful information from that data remains a grand challenge. This talk will describe powerful new mathematical tools built to confront this problem. These tools cut across application domains and are adaptable. Examples to be discussed include analyzing data from images, biology, and neuroscience. In addition, the talk will discuss how the methods might be adapted to data collected from other domains where anomaly detection, data fusion, and compression issues are paramount. Finally, Dr. Mann will describe how this “new mathematics” is related to new insights in mathematical biology.

Please see the Seminar Announcement for further details.