I am a statistics and probability PhD student at the University of Illinois at Chicago. I graduated from University of Missouri-Columbia in 2016 with a B.A. in Mathematics and a minor in Theatre. I worked for Title 1 in Chicago as a manager and a teacher for 1 year before I began my studies at UIC. During this year, I also performed in a number of Chicago based theatre productions, including Gentle with The Utopian Theatre Asylum . In my spare time, I enjoy cooking, playing piano, and watching scary movies with my husband, Mitchell, and my border collie, Lucky.
My resume can be found here.
I am interested in Model Interpretability and Dimension Reduction. My mentor is Jing Wang. I am also currently working on a paper with Jie Yang in response to a paper by Andreas Joseph which introduces the Shapley Regression Framework . This work addresses the need for interpretable black box models, as often these models produce higher accuracy, but also produce predictions which are difficult to explain in terms of the predictors.
I am also beginning research with Yichao Wu , studying Frechet Regression and its potential application to brain imaging data. Modeling this kind of data may involve a large p, small n problem, as in the future we may wish to model brain connections with genetic data. Therefore, our research will mostly involve variable selection in this case.
In Fall of 2019, this seminar collaborated with Navistar, Inc. on a data science project. Students were given exposure to real data problems. Seminar time was used mostly as workshop time, with multiple visits from Navistar's top data scientists.
In Spring of 2020, this seminar is structured as a speaker series. Professors, senior graduate students, and alumni will give approachable presentations on their recent works.