Serena Yan is a Software Engineer with extensive experience in the tech and finance industries. Currently at Applied Intuition since April 2024, Serena previously developed a portfolio management tool for crypto assets at Electric Capital and served as a Teaching Assistant at Caltech, covering subjects such as Probability Models and Statistical Inference. At Goldman Sachs, significant contributions included enhancing pricing tools for interest rate swaps and conducting a data science project for equities derivatives. As a Trader at Bank of America, Serena executed quantitative risk analysis and developed trading strategies. Early career roles include software engineering positions at Virtualitics, Inc., Keymobile, and an academic lead role at TechX Academy. Serena holds a Bachelor of Science in Computer Science (Machine Learning) and Applied Math from Caltech, completed in 2022.
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