Hello all :
My name is Nathan Segal, and I bring over two decades of experience in financial technology, capital markets, and wealth management. Throughout my career, I have focused on integrating innovation, compliance, and data-driven strategies across leading global institutions. My research interests center on AI’s role in transforming the financial and compliance sectors, particularly through AI-enhanced portfolio optimization, where artificial intelligence, machine learning, and generative models can improve investment performance, risk management, and decision intelligence.
The goal of my doctoral research is to bridge financial theory with practical AI applications, creating more adaptive, transparent, and data-intelligent investment systems. This pursuit is driven by three core motivations: applying AI to strengthen portfolio analytics and outcomes, contributing to academic understanding of how AI and behavioral finance intersect, and promoting responsible, explainable AI in financial decision-making.
My research follows a pragmatic, mixed-methods approach, combining positivism for quantitative modeling, interpretivism for behavioral insights, and critical realism to connect data-driven findings with ethical and institutional realities.
I look forward to collaborating and exchanging ideas with fellow scholars as we explore how emerging technologies can drive innovation and responsibility in global finance.