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Ai Deng has over a decade of experience in litigation consulting and academic research. With an expertise in econometrics and data analysis and a passion for teaching, he assists clients with understanding complex economic and econometric issues and developing easy-to-understand documents that explain technical arguments to judges and juries and leads teams in these analyses. He has also worked extensively with government agencies including the Federal Energy Regulatory Commission (FERC), the Commodities Futures Trade Commission (CFTC), and the US Federal Trade Commission (FTC). He has experience in a variety of industries, including high-tech, financial (including commodities), chemical, vitamins, and energy industries.

Dr. Deng is an invited external expert for the Romanian National Council for Scientific Research and a lecturer at the Advanced Academic Program, Johns Hopkins University. He has published in and been invited as a peer referee for many academic journals. In addition to his academic publications, Dr. Deng has also written for the general antitrust audience. Some of this work has appeared in Journal of Competition Law & Economics, Journal of Antitrust Enforcement, Competition Policy International, Antitrust Magazine, Antitrust Bulletin, Law360, and American Bar Association’s Economics Committee Newsletter. He is also a guest contributor to the popular blog cartelcapers (an ABA Journal Blawg 100 honoree), offering commentary on economic and econometric issues in litigation.

Dr. Deng’s current research interests include predictive and causal inferences using machine learning algorithms with applications to price/market manipulation, and class certification and the intersection between technology (artificial intelligence and blockchain, in particular) and antitrust.


PhD, Economics, Boston University

MA, Political Economy, Boston University

BA, Economics, Chongqing University


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