Pittsburgh, Pennsylvania, United States
I’m currently pursuing a Master in Financial Engineering at Columbia University, building on my Mathematics degree from Carnegie Mellon. My journey so far has included hands-on experience at DXT Commodities Trading, Morgan Stanley, and Ivy Capital, where I worked on projects ranging from quantitative analysis to financial modeling and equity research. I love applying math and data-driven methods to solve real problems in finance — whether that’s optimizing strategies, modeling risk, or exploring the potential of machine learning in trading and investment. Beyond the technical side, I’m fluent in both English and Chinese, which helps me navigate global markets and collaborate across teams. I’m excited to keep growing at the intersection of math, finance, and technology, and I’m actively seeking internship or full-time opportunities for Summer 2026 where I can contribute my skills and learn from top professionals in the industry.
Advised senior traders in MISO electricity markets by providing analytical support on load, congestion, electricity future using SQL-based processing, and technical analysis of new market data using regressions and multi-factor models Discovered and back tested a predictive model in SQL and Excel to identified key factors driving congestion and electricity prices Achieved 96% directional accuracy; model was integrated into daily trader reports to guide strategy and risk management
Developed option pricing models using Monte Carlo simulations to simulate stock prices, accommodating a wide range of Ito processes beyond general Geometric Brownian motion Optimized simulation algorithms, reducing function run time, ensuring company model could accept and update daily stock market data efficiently
Conducted due diligence on early-stage AI companies, analyzing business models, competitive positioning, and financial performance to support investment and acquisition decisions in pre-seed and Series A rounds. Built valuation models and market analyses to assess growth potential and risk, delivering findings to senior partners as part of investment recommendations