Duraimurugan Rajamanickam
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Biography and Research Information
OverviewAI-generated summary
Duraimurugan Rajamanickam's research focuses on the application of causal inference and mediation analysis within artificial intelligence and financial contexts. His recent publications explore the development of Causal Portfolio Analytics (CPA) for accessible investment analysis, demonstrating how causal discovery can inform portfolio construction. Additionally, he investigates the decomposition of discrimination in AI-driven credit decisions through causal mediation analysis.
Rajamanickam's work aims to enhance transparency and fairness in algorithmic decision-making. His research contributes to understanding how causal relationships can be leveraged to build more equitable and interpretable AI systems, particularly in areas with significant societal impact like finance.
Metrics
- Publications: 4
Selected Publications
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Causal Portfolio Analytics (CPA): From Causal Discovery to Portfolio Construction for Accessible Investment Analysis (2026)
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