GSB Lecture Notes
Picture
Real name
Keith Lee
Bio
Keith Lee is Professor of AI and Finance at the Gordon School of Business, Swiss Institute of Artificial Intelligence (SIAI). His primary research lies in financial mathematics and AI-driven computational science, with a focus on quantitative modeling of complex economic and financial systems. His work integrates machine learning, stochastic modeling, and data-centric methods to study structural transformations in markets and institutions.
In recent years, his research has extended to the economic and fiscal implications of technological change, including the interaction between artificial intelligence, demographic shifts, and public finance sustainability.
He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.
He regularly contributes analytical essays on the broader socioeconomic implications of AI to The Economy Review.
In recent years, his research has extended to the economic and fiscal implications of technological change, including the interaction between artificial intelligence, demographic shifts, and public finance sustainability.
He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.
He regularly contributes analytical essays on the broader socioeconomic implications of AI to The Economy Review.
Picture
Real name
Keith Lee
Bio
Keith Lee is Professor of AI and Finance at the Gordon School of Business, Swiss Institute of Artificial Intelligence (SIAI). His primary research lies in financial mathematics and AI-driven computational science, with a focus on quantitative modeling of complex economic and financial systems. His work integrates machine learning, stochastic modeling, and data-centric methods to study structural transformations in markets and institutions.
In recent years, his research has extended to the economic and fiscal implications of technological change, including the interaction between artificial intelligence, demographic shifts, and public finance sustainability.
He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.
He regularly contributes analytical essays on the broader socioeconomic implications of AI to The Economy Review.
In recent years, his research has extended to the economic and fiscal implications of technological change, including the interaction between artificial intelligence, demographic shifts, and public finance sustainability.
He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.
He regularly contributes analytical essays on the broader socioeconomic implications of AI to The Economy Review.
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