Inderjit Saini (he/him) is a PhD student in the Global Governance program at the Balsillie School of International Affairs (BSIA). His research examines Canadian policy responses to AI-mediated misinformation, focusing on how an understanding of human–machine relationships can inform more effective approaches to misinformation governance.

Previously, Inderjit completed an MA in Communication Studies at Wilfrid Laurier University (WLU). His Major Research Project focused on developing a scholarly foundation for updating the Propaganda Model for a modern misinformation environment. His work recommended redefine the model from a rigid structure into a more flexible analytical framework, an approach he termed the PFAM. Within this framework, its filters serve as analytical lenses through which specific questions about the creation and circulation of misinformation can be examined. He also completed his BA in Communication Studies at WLU.

Currently, Inderjit works as a research assistant at BSIA and serves as a board member of the Graduate Students Association (GSA). He previously worked for two years as a teaching assistant in the Communication Studies department, teaching CS101 (Canadian Communication in Context). He has also held several administrative positions at WLU.

Outside his academic work, Inderjit enjoys watching the Toronto Raptors and Formula 1. He is also interested in reading and learning about ancient history and politics.