About Spencer Ozgur
I am an incoming Master of Science student in Financial Engineering at Columbia University in the City of New York. I am deeply passionate about exploring how machine learning models are transforming stock market dynamics and driving modern investment strategies. My goal is to bridge the gap between quantitative research and trading by leveraging these insights to optimize decision-making and maximize returns. Through my work, I aim to develop cutting-edge financial models that empower traders with data-driven strategies in an increasingly algorithmic market.
Academic Journey
My journey began at Arizona State University, where I pursued a degree in Computer Science with a deep curiosity about how robots could think like humans. This passion led me to LabV2 at ASU, where I engaged in cutting-edge Artificial Intelligence research.
As I progressed in my studies, I became fascinated by the intersection of AI and finance, particularly how mathematical models could be applied to the stock market. This realization steered me toward Financial Engineering, a field where I could merge my technical expertise with financial applications.
Determined to deepen my knowledge, I set my sights on a Master’s in Financial Engineering, and I was fortunate to secure a place at my top choice—Columbia University. I look forward to starting this next chapter in August, where I will continue exploring the dynamic world of quantitative finance.
Education
Columbia University
New York, NY
December 2026
Master of Science in Financial Engineering
Arizona State University
Tempe, AZ
December 2024
Bachelor of Science in Computer Science (Minor in Mathematics)
