Photo of Ai  Deng, PhD

Selected Expertise

  • Applied econometrics
  • Damages estimation
  • Energy market analysis
  • Class certification analysis
  • Market manipulation
  • Predictive modeling

Selected Industries

  • Chemicals
  • Commodity markets
  • Computer hardware and software
  • Energy
  • Oil and gas
  • Semiconductors
  • Vitamins


Ai Deng, PhD


During his decade-long career as a consultant and case manager, Ai Deng has studied some of the largest price-fixing and market manipulation cases in history. With an expertise in econometrics and data analysis and a passion for teaching, he has also assisted attorney clients as well as subject matter experts with understanding complex economic and econometric issues, and with developing easy-to-understand documents that explain technical arguments to judges and juries.

Dr. Deng has published in and been invited as a peer referee for many renowned academic journals. In addition to his academic publications, Dr. Deng has also written for the general antitrust audience. Some of these work has appeared in Antitrust Bulletin, Law360, and American Bar Association’s Economics Committee Newsletter. As an adjunct faculty, he enjoys teaching graduate level courses in econometrics at Johns Hopkins University.

Selected Experience

  • Co-led extensive analyses in support of cartel damages in a number of 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.
  • Supported 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. Analyzed whether the NYMEX Light Sweet Crude Oil Futures Contract calendar spread prices were artificial on specified dates, the degree of artificiality, and whether defendants’ actions were a proximate cause of the artificiality.
  • Co-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.


PhD, Economics, Boston University

MA, Political Economy, Boston University

BA, Economics, Chongqing University