Lan Min

Lan Min is a Data Science Researcher at Two Sigma since November 2020, bringing extensive experience from previous roles at McKinsey & Company, where Lan served as a Specialist and Senior Fellow in Advanced Analytics from December 2016 to November 2020. Lan's project work has focused on the Banking, Private Equity, and Real Estate industries, notably developing a sentiment text classification model utilizing LSTM for predicting financial news sentiment and employing transfer learning to enhance accuracy. Additionally, marketing response, customer retention, and next-product-to-buy models were built using gradient boosting machine methodologies and content-based recommendation systems. Lan holds a Master of Science in Statistics/Biostatistics from Yale University and a Bachelor's degree in Biochemistry from Shanghai Jiao Tong University.