Research Interests:
Decision Theory,
Cryptocurrency & Artificial Intelligence.

Frédéric Mirindi is a Canadian Economist and PhD Candidate in Economics and Econometrics at the University of Manitoba.

He holds a Master's degree in Development Economics from the University of Antwerp and attended the African Economic Research Consortium (AERC). He serves as a Lecturer at Université de Saint-Boniface and Booth University College, bringing industry experience from his previous role as a Data Scientist at Canada Life.

His research centers on decision theory, cryptocurrency, and artificial intelligence, with particular emphasis on rational decision-making under uncertainty, blockchain-based financial systems, and machine learning applications in economics.

View Research
PhD Expected: December 2027 CV/Resume: Upon request Université de Saint-Boniface, Winnipeg, MB
Frédéric Mirindi

Recent Publications

Adaptive Proof-of-Stake Governance: A Game-Theoretic Approach to Consensus

F. Mirindi, D. Mirindi

Mathematical Research for Blockchain Economy: 6th International Conference

2026

Optimizing ML Algorithms for Real-Time Privacy-Preserving Patient Monitoring in Embedded Systems

F. Mirindi, A. Khang, D. Mirindi

Revolutionizing Digital Healthcare Through Artificial Intelligence

2026

Learning Latent Trends: AI-Augmented Difference-in-Differences Estimation

F. Mirindi, D. Mirindi, D. Sinkhonde, T. Bezabih

2025 International Conference on Big Data, Knowledge and Control Systems

2025

News

The Hackers Are Using AI Too: Economic Implications of AI-Powered Cyber Threats

March/April 2026

AI cybersecurity economic impact AI-powered hacking costs Cybersecurity market growth Economic defense spending on AI

The rapid adoption of artificial intelligence by malicious actors is reshaping the economic landscape of cybersecurity. As highlighted in recent analysis, AI-driven cyberattacks are driving up costs for businesses and governments worldwide, creating new market dynamics in the global cybersecurity industry. The economic burden of AI-enhanced phishing, deepfakes, and automated vulnerability exploitation is accelerating investment in defensive AI technologies, generating a growing demand for specialized talent and reshaping risk models across the financial and insurance sectors.

From an economic perspective, the arms race between AI-powered offense and defense is producing significant externalities: rising compliance costs, increased cyber insurance premiums, and a widening gap between organizations that can afford advanced AI defenses and those that cannot. This asymmetry threatens to deepen economic inequality across industries and regions, while also spurring innovation and creating new opportunities in the rapidly expanding cybersecurity market.