Weixuan Lin

Weixuan Lin is a Senior Applied Scientist at Amazon, where they develop machine learning models for ad sourcing and relevance. Their technical interests include stochastic control, convex optimization, and algorithmic game theory, with a focus on decentralized control problems established during their PhD at Cornell University. Previously, Weixuan interned as a Research Intern at Uber, where they worked on motion planning for self-driving vehicles. They have also served as a Research Assistant at Cornell, tackling decision-making issues in decentralized environments. Weixuan is currently pursuing a Bachelor of Engineering in Electrical Engineering and a Bachelor's degree in Economics at Tsinghua University while completing their PhD.