Saad Mouti

Saad Mouti is a Visiting Assistant Professor at the Department of Statistics & Applied Probability, University of California, Santa Barbara, specializing in statistical modeling at the intersection of finance and public health. His academic work combines quantitative finance, causal inference, and epidemiological risk analysis.

• Education: PhD from Paris Dauphine University

Research spans financial risk management and dietary impacts on metabolic diseases, with recent work on:

• Rough volatility models in financial markets
• Sustainable investing and drawdown analysis
• Causal pathways linking diet to cardiovascular risk
• Optimal hedging strategies for insurance liabilities

The cross-disciplinary nature of his publications highlights methodological contributions to statistical finance and population health. Current work focuses on resampling techniques for two-point health time-series analysis.