My primary research interests are nonprofits, design thinking, and social innovation. I am exploring how nonprofit organizations can leverage tools such as design thinking for social innovation. Within this context, I hope to understand how the nonprofit sector and public policy work in tandem for furthering innovation as well as uncovering opportunities for stronger collaboration. I am interested in deepening my understanding of the role of policy in enabling, advancing, and regulating innovation within the nonprofit sector. Through the course of my research, I aspire to contribute a framework that both practitioners and academics can use for understanding these dimensions.
Undergraduate Institution and Major:
B.A International Political Economy and French minor, Carthage College
Graduate Institution and Degree:
MSc, Business Design and Innovation, Carthage College
Relevant Professional Experience:
2020 – 2021. Community Schools Manager, United Way of Racine County
2019 – 2020. Design and Innovation Fellow, Learnlife and Carthage College
2018-2019. Community Development and Policy Studies Intern, Federal Reserve Bank of Chicago
Graduate Teaching Assistant, Managing Arts & Nonprofit Organizations, Carthage College, Fall 2019
Honors and Awards:
University Fellowship, The Ohio State University, 2021.
Diversity, Equity, and Inclusion Student Advocate of the Year, Carthage College, 2019.
In July 2020, Columbus City leaders commissioned an independent, outside after-action review of the City’s response to protests that took place last summer. Former U.S. Attorney for the Southern District of Ohio Carter Stewart and the John Glenn College of Public Affairs were named the lead investigative team.
In this study, published in Economic Development Quarterly, the authors present a statistically valid typology of high-growth firms, also known as gazelles, to determine if payroll and job growth patterns differ between groups or clusters.
This study, published in the Bulletin of the American Meteorological Society, presents an experimental design that overcomes the counterfactual problem present in all prior published experiments by relying on an actual storm with a known outcome.