Student Leadership in change teams
The Access Network consists of nine university-based programs co-working with graduate and undergraduate students across the country towards a vision of a more diverse, equitable, inclusive, and accessible STEM community. This project aims to understand how student leaders define their roles within the organization and what implications this has for students and the Access Network.
Effective Practices for Physics Programs (EP3) Project
I joined the EP3 project at the end of the Spring 2020 semester as a Graduate Research Assistant under the advising of Dr. Chandra Turpen. This is a project, led by APS in collaboration with AAPT, that aims to help guide Physics departments in improving their undergraduate programs. Currently, my research contributions to this project consist of activities such as analyzing responses from a nation-wide survey of department chairs, developing and conducting participant interviews, and engaging in qualitative analysis of case studies within departments.
PERC 2022 Proceedings Paper
Exploring faculty’s explanations of enrollment issues
PERC 2022 Proceedings Paper
Introducing the Departmental Action Leadership Institute and its preliminary outcomes
AAPT Winter 2021 Contributed Talk
Prevalence and Nature of Threats Facing U.S. Physics Departments
Network Science
Network analysis is a range of techniques that aim to depict and measure the interconnecting relationships between discrete entities. In my work, I apply these techniques to various levels of networks. I have developed methods to study the network of units within a national lab from data gathered by employees of those units, allowing for better investigation into how these units interact with each other based on individuals’ actions. I have also developed a methodology for studying Likert-style surveys through a network lens based on how survey items are answered in similar or different ways. This method has been used to depict important relationships between aspects of physics graduate student experiences that build to larger themes.
Network analysis approach to Likert-style surveys
Restoring the structure: A modular analysis of ego-driven organizational networks
(Submitted)
Writing-to-Learn
Writing-to-learn is a teaching pedagogy that promotes the use of writing to help students solidify knowledge and come to deeper understandings of complex processes. WTL can take many forms and its effectiveness varies depending on the context in which it is used. This work was done at the University of Michigan between the Summers of 2018 and 2019. Below are links to my work on this research project.
PERC 2019 Paper
Investigating the mechanisms of peer review
Last updated February 1, 2024