Professor Yuehua (Amy) Wu<\/strong> (Mathematics & Statistics) is a researcher who considers interesting statistical problems with her students and models data to come up with analytical tools others can use.<\/p>\n\n\n\n \u201cWith statistics, you have to apply,\u201d said Wu. \u201cI train my students to have a good experience with data. We use real data and ask, what is it telling us? We come up with a model with theoretical results.\u201d<\/p>\n\n\n\n One of Wu\u2019s major research interests is change-point analysis. A changing point occurs when there is an abrupt change in the data, where the mechanism of what occurs before and after that point is different. Detecting and analyzing change points can be useful in many different application areas such as tracking stock markets, monitoring medical conditions, detecting climate change, monitoring and assessing the efficacy of the government policies, and more.<\/p>\n\n\n\n \u201cThink of changing point in the context of having a security camera set up around your home,\u201d explained Wu. \u201cOne can use changing point analysis to program their system to remove useless footage captures like the movement of squirrels or other animals, and keep more interesting footage of bigger things like people and cars.\u201d<\/p>\n\n\n\n Throughout the COVID-19 pandemic, Wu has continued to work with collaborators virtually and is preparing numerous research papers for publication. Her recent research has focused on applying changing point analysis to medical imaging. She and her students have developed statistical methods to detect significant changes in images of gastrointestinal bleeds that can also be applied to detect injured lungs. Her methods try to detect meaningful differences in image pixels that indicate abnormalities, which could then be used to automatically alert doctors. The same tools could also be used in other applications such as for quality control, detecting smoke and pollution, and more.<\/p>\n\n\n\n \u201cThe idea is for these methods to be packaged as software that can be used by anyone,\u201d added Wu. \u201cPeople don\u2019t have to fully understand the statistics behind them, they could just go into the software, input their data, and get results automatically.\u201d<\/p>\n\n\n\nResearch Interests<\/h2>\n\n\n\n