Xi Chen

Xi Chen is a Senior Consultant with Compass Lexecon and a Professor and Andre Meyer Faculty Fellow at New York University’s Stern School of Business. He also holds affiliations with the Courant Institute of Mathematical Sciences and NYU’s Center for Data Science. Professor Chen received his PhD in Machine Learning from Carnegie Mellon University’s School of Computer Science and completed postdoctoral training under Professor Michael I. Jordan at the University of California, Berkeley.

Professor Chen’s work lies at the intersection of machine learning, artificial intelligence, digital platforms, and quantitative economics. His research and industry experience focus on topics central to modern antitrust, digital-market, and financial litigation, including online advertising auctions, algorithmic and dynamic pricing, recommendation systems, generative and agentic AI systems, differential privacy and fairness, decentralized finance, digital assets, and quantitative trading.

From 2021 to 2023, Professor Chen served as a Principal Research Scientist at Amazon Ads, where he led modeling for global advertising auctions, delivery and pacing algorithms, supply forecasting, advertiser bidding systems, and LLM-enabled measurement pipelines across Amazon’s advertising marketplaces. He has also collaborated with Google, Meta, Adobe, JPMorgan, Bloomberg, and Alibaba on platform design, AI/ML systems, pricing, and financial analytics.

Professor Chen’s research has appeared in leading academic journals, such as Management Science, Operations Research, the Journal of the American Statistical Association, and the Journal of Machine Learning Research. He is the co-author of Web3: Blockchain, the New Economy, and the Self-Sovereign Internet (Cambridge University Press, 2024) and co-editor of Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow (Springer, 2024). He has been recognized with numerous distinctions, including Forbes 30 Under 30 and Poets & Quants: World’s Best 40 Under 40 MBA Professors, and is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics.