I am a PhD student in the Data Analytics Center working with Dr. Chris North in his InfoVis lab on creating new visual analytics tools for high-dimensional data. As part of my UrbComp Fellowship, I am also teaming up with Dr. Mike Horning to create a new tool for people to use to reflect on how they are determining the validity of news sources. To help achieve this goal, I also belong to the Bayesian Visual Analytics research group, which brings together professors and students from both Statistics and Computer Science to research issues related to visualizing, interacting with, and understanding high-dimensional data. To achieve this goal, we research how human-in-the-loop methods can be applied to data analytics tasks in a visual analytics tool for high-dimensional data.

In addition to the experiences through various internships, as detailed in my CV, I also plan to gain addtional experience teaching a university-level course within the next year as I prepare to graduate and pursue a career in academia.

To learn more about me and my research, click on the links above.