Fateme Jamshidi

Fateme Jamshidi is a doctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Management of Technology and the Institute for Management, Technology and Economics.

Her research focuses on:

• Causal inference and discovery
• Bayesian network modeling
• Multi-armed bandit algorithms
• Context-specific independence analysis
• Hidden confounding in causal networks
• Nonparametric statistical testing

Recent work trends demonstrate expertise in causal modeling under uncertainty, with applications to machine learning and decision systems. Her publications explore graph-dependent regret bounds, causal imitability, and structural side information integration.