Serjin Kim

Hi! I am Serjin Kim, an incoming Master’s student in Finance at MIT Sloan School of Management. Before MIT, I studied economics at Seoul National University (SNU).

I am interested in how emerging technologies and financial markets reshape each other. My work is grounded in rigorous economic theory, and I try to bring that foundation to questions traditional finance is only beginning to ask — how AI and robo-advising change price discovery, what stablecoins and blockchain do to intermediation, and what risks emerge as markets grow more algorithmically driven.

At SNU, I was fortunate to be advised by Prof. Sanghack Lee on causal machine learning and Prof. Jaewon Choi on corporate finance.

These are the questions I am thrilled about:

Emerging Technologies as Market Participants
∘ How do emerging technologies (e.g., AI, robo-advising, stablecoins, blockchain) affect price discovery and market information efficiency?
∘ Does homogenization of investor behavior through shared AI systems create new forms of systemic risk?

Causal Methods for Financial Econometrics
∘ Can transformer-based models learn structural causal patterns without explicit supervision?
∘ How can off-policy evaluation be deployed robustly in real financial decision-making settings?