Will Arnow
About Will Arnow
Will Arnow is a Computer Science Instructor currently working at Juni Learning and the School of Public and International Affairs at the University of Georgia. His research focuses on developing computational tools to analyze the political effects of Congressional gerrymandering.
Work at Juni Learning
Will Arnow has been employed as a Computer Science Instructor at Juni Learning since 2021. In this role, he teaches computer science concepts to students, leveraging his academic background and practical experience. His work involves developing curriculum and instructional materials that engage students in the field of computer science.
Current Position at University of Georgia
Since 2020, Will Arnow has served as a Student Assistant at the SPIA Survey Research Center within the School of Public and International Affairs at the University of Georgia. In this capacity, he supports research initiatives and assists in data collection and analysis, contributing to the center's efforts in public policy research.
Previous Experience at University of Georgia
In 2021, Will Arnow worked as a Research Assistant at the School of Public and International Affairs at the University of Georgia for a duration of four months. His responsibilities included assisting faculty with research projects and contributing to the analysis of political data.
Educational Background
Will Arnow studied at The University of Georgia, where he earned a Bachelor of Science degree from 2019 to 2023. His education provided him with a strong foundation in both computer science and political science, which he aims to integrate in his career.
Early Career at UPS
Before his academic pursuits, Will Arnow worked as a Seasonal Delivery Assistant at UPS from 2019 to 2020. This role involved assisting in the logistics and delivery operations of the company, providing him with early work experience in a fast-paced environment.
Research Interests
Will Arnow's research focuses on developing computational tools to measure the political effects of Congressional gerrymandering. He is passionate about creating an interdisciplinary career that connects computing and political science, aiming to contribute to the understanding of political processes through technology.