NERA (New York)

Emilie Feyler

NERA (New York)
Consultant

Emilie Feyler is a Consultant in NERA’s Antitrust and Competition practice, based in White Plains, NY. Emilie Feyler conducts analysis in the economics of antitrust, commercial damages and class certification to prepare expert reports, testimony, and research. She has expertise in analyzing the competitive effects of proposed mergers and acquisitions and in estimating damages in antitrust cases involving cartels, abuse of market power, and intellectual property infringement. Her experience spans a number of industries, including telecommunications, health insurance, and consumer products. Emilie Feyler has received her master’s degree in economics from Sciences Po Paris. She taught econometrics and statistics for a graduate course at Sciences Po Paris. Before joining NERA, she conducted research for the United Nations and the Organisation for Economic Co-operation and Development.

Linked authors

Toulouse School of Economics
NERA (New York)
NERA (Auckland)
NERA (London)
NERA (White Plains)

Articles

1131 Bulletin

Sheng Li, Claire Chunying Xie, Emilie Feyler Algorithms & Antitrust: an overview of EU and national case law

1131

Humans have been creating and using algorithms for thousands of years, but never before have the effects of algorithms been so pervasive in our everyday lives and the functioning of the economy as a whole. Recent developments in technologies relating to computer processing power, data storage, and artificial intelligence have enabled the adoption of increasingly sophisticated algorithms that are reshaping competitive landscapes across industries, raising many new questions about competition and antitrust in the process. This article focuses on three areas of antitrust where the use of algorithms has drawn scrutiny from both enforcers and practitioners from around the globe: collusion, mergers, and algorithm self-preferencing.

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