Education
PhD Student in Finance, MIT Admitted to top PhD programs at MIT, Stanford, CMU in Chemical Engineering, Computational Science, and Finance Began undergraduate studies at age 16 on full scholarship
Subjects
Finance, Quantitative Finance, Machine Learning, Computational Science, Statistical Modeling
Achievements
Co-authored 5 peer-reviewed journal publications during undergraduate studies Research areas include: Factor models for asset return covariance Duration effects and bias in equity returns Multimodal transformer models for time-series forecasting
About
Damon is a doctoral student at MIT specializing in quantitative finance. With a strong interdisciplinary foundation in statistics, engineering, and computational science, his research leverages statistical and machine learning techniques to understand patterns in financial time-series data. Damon brings a rare blend of academic excellence and early achievement, having entered university at 16 and already co-authored multiple peer-reviewed publications.
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