People / Students / Class of 2026
Linda Lin is a product strategist with a strong foundation in data science, product management, and corporate strategy. She earned her B.S. in Applied Mathematics & Statistics and Cognitive Science from Johns Hopkins University, focusing on computational approaches to human cognition, and is proficient in Python, Gurobi, SQL, and advanced machine learning methods.
She has applied computational and statistical tools to drive strategic decisions across industries. At RedNote in Shanghai, she worked in the CEO’s office on AI product strategy, using data mining, BERT, and LDA modeling to analyze large-scale market intelligence. Her findings uncovered emerging trends that shaped product designs in social and companion AI and informed key decisions in AI technology development and acquisitions. At Meshy.ai, a generative AI startup, she built automated pipelines for market intelligence and customer feedback, streamlined product iteration cycles, and led A/B testing practices. She also drove product-led onboarding and growth strategies that significantly improved user activation and boosted subscription-to-payment conversion rates.
Looking ahead, Linda aims to deepen her expertise at the intersection of product strategy and machine learning through the MLDS program, with the goal of advancing product-led growth driven by statistically informed decision-making.
