Hofer’s research combines empirical analysis with formal methods to assess law enforcement policies. His statistical analysis and research on automated license plate readers have informed city ordinances and regulatory discussions across the United States, particularly regarding data retention, transparency, and accountability. He is the co-author of the Independent Institute’s policy report Guilt by Association, which exposes the constitutional and ethical pitfalls of California’s CalGang database and gang conspiracy laws. In his journal article, “Red Light Game Identifies Ineffective Criminal Deterrence,” Hofer uses game-theoretic techniques to show how adding law enforcement resources, under certain conditions, undermines criminal deterrence and produces counterproductive outcomes. He has written extensively on the intersection of esports, technology and politics, including an analysis of anti-cheat software as a surveillance mechanism.

Elsewhere, Hofer’s articles have appeared in publications such as CPO Magazine, Towards Data Science, CodeX, Geek Culture, Inside Sources/DC Journal, The Hill, America’s Future, The American Conservative, The Startup, The Capital, Real Clear Education, California Globe, The Daily Californian and Orange County Register. He holds a B.A. in Political Science from the University of California, Berkeley, where he participated in original research on comparative intellectual property regimes.