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
- Chinese (Mandarin)
- Consulted extensively on class certification and damages in In re LIBOR-based Financial Instruments Antitrust Litigation.
- Led extensive analyses in support of cartel damages, expert testimony, and settlements in a number of high-profile litigations, including In re Dynamic Random Access Memory (DRAM) Antitrust Litigation, Oracle America, Inc. v. Micron Technology, Inc., In re TFT-LCD (Flat Panel) Antitrust Litigation, In re Urethane Antitrust Litigation, In re Rubber Chemicals Antitrust Litigation, and In re Vitamin C Antitrust Litigation.
- Led the project team to support the expert witness and advised clients in CFTC v. Parnon Energy Inc., et al., Case No. 11-cv-3543 (SDNY) involving alleged manipulation of crude oil calendar spreads.
- Led both the affirmative and rebuttal econometric analyses to examine NYMEX natural gas futures price behavior in In re Amaranth Advisors LLC.
- Developed rebuttal and affirmative econometric analyses to support multiple experts to analyze damages issues related to the misreporting of prices to publishers of natural gas price indices in In re Natural Gas Commodity Litigation.
- Consulted for a financial exchange on its market surveillance program.
News & Insights
- August 2018
- May 1, 2018
- October 3, 2017
- September 15, 2017
- September 2017
- January 10, 2017
- July 2016
- June 20, 2016
- March 24, 2016
- September 29, 2015
- Spring 2015
- February 2014
- April 1, 2012
- January 2012
- April 2010
- September 1, 2009
- June 2008
- January 2008
- October 31, 2006
- April 2005Decomposing Predictability: A Multi-Resolution Analysis