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An analysis of academic testing methods and intrinsic student motivation

[Advised by Dr. Geoffrey Herman]

This research investigates the differences of various academic testing methods on education and learning retention for college-aged students, with a particular emphasis on the effects of intrinsic motivation on student performance.

Presented at the Undergraduate Research Symposium 2023, Computer Science Research Scholars Symposium 2022

PeopleWeave (Caesar Research Group)

[Advised by Dr. Matthew Caesar]

The purpose of this research is to build a data-centered platform that aids researchers, particularly students and rising researchers, network with others at conferences (such as IEEE and ACM) based off their work and research interests. This platform aims to increase inclusion and diversity among researchers and collaborators by emphasizing the works of women and non-binary researchers, among other underrepresented minorities.

Presented at ACM SIGCOMM 2022, ACM CoNext 2022, ACM SIGCOMM 2021