Pian Chen, PhD

Pian Chen has over a decade of experience in litigation consulting and econometric modeling. She has led teams in developing sophisticated quantitative models to evaluate the impact of alleged anticompetitive conduct (e.g., price-fixing cartels, product hop and pay-to-delay generic entry) as well as to investigate illegal trading practices (e.g., spoofing, security fraud, and energy price manipulation). Pian has overseen teams responsible for reviewing discovery documents, analyzing complex data sets, creating compelling narratives, and producing expert reports for non-technical audience. In her work, she is passionate about applying cutting-edge econometric techniques to solve real-world problems and actively collaborating with her colleagues to share expertise and foster collective growth at Bates White.

Prior to joining Bates White, Pian taught econometrics at the Victoria University of Wellington in New Zealand and served as the Associate Director of Economic Modeling at the Public Company Accounting Oversight Board (PCAOB).

PhD, Agricultural and Resource Economics, University of California, Davis

MA, Economics, Shenzhen University, China

BS, Engineering, Hubei Institute of Technology, China

• On behalf of the US Department of Justice, supported the identification of a spoofing scheme in precious metals trading.
• On behalf of the US Commodity Futures Trading Commission, assisted in the investigation of price manipulation involving oil futures and calendar spreads.
• In multiple matters involving product hop and pay-for-delay generic entry, proposed methodologies to estimate a range of damages to healthcare plans and supported expert depositions.
• In In re Urethane Antitrust Litigation, performed econometric analyses to assess damages as a result of an alleged price-fixing conspiracy on behalf of direct-action plaintiffs.
• In the matterIn re TFT-LCD (Flat Panel) Antitrust Litigation, performed econometric analyses to assess damages and evaluated empirical analyses of damages proffered by opposing experts. 
• In multiple matters involving mortgage-backed securities, implemented sampling methods to evaluate mortgage loan defect rates and estimated damages to insurers.
• In the matter AMD v. Intel, analyzed the exclusionary impact of Intel’s rebate practices and evaluated whether Intel was selling below cost.