Breno Vieira

Principal Specialist, Applied Research Center

Contact

  • Chicago

Education

    • Stanford University, Ph.D.
    • Stanford University, M.A.
    • Pontifical Catholic University of Rio de Janeiro, M.S.
    • Pontifical Catholic University of Rio de Janeiro, B.A.

Breno Vieira applies advanced econometrics, industrial organization, and data science tools to complex antitrust, competition, and regulatory issues. Dr. Vieira focuses on mergers and antitrust matters arising in the digital entertainment, gaming, healthcare, and telecommunications industries.

As a member of Cornerstone Research’s Applied Research Center, Dr. Vieira plays a leadership role in deploying artificial intelligence (AI) tools to clients’ antitrust challenges and building AI systems architecture and processes for consultants. In addition, he develops infrastructure, data science tools, and economic methods to deliver efficient analytical support to experts and clients.

Before rejoining Cornerstone Research, Dr. Vieira worked for four years as a data scientist and data science manager at a leading global technology firm.

Mergers

Dr. Vieira has experience in all phases of merger review, including evaluating market definition and assessing the impact of mergers, divestitures, and content creation incentives. He has analyzed complex organizations with vertical and horizontal integration components, applied sophisticated modeling techniques to assess substitution between products, and evaluated post-merger incentives. Dr. Vieira’s experience includes:

  • T-Mobile/Sprint: Assisted with the regulatory review of T-Mobile’s $26 billion merger with Sprint, supporting experts to analyze how consumers choose wireless carriers and how wireless carriers compete
  • United States v. AT&T Inc. et al.: Supported experts in rebutting market research studies used to predict potential subscriber loss and to form a measure of harm
  • Proposed Merger of Aetna and Humana Enjoined: Supported testifying experts in their analyses and rebuttal critiques of relevant market, competitive effects, and demand estimation issues
Tech, AI, and big data

Dr. Vieira has managed complex, data-intensive matters requiring customized big data servers and analytical methods. He has substantial experience with proprietary and public datasets involving billions of records. He consulted on Epic v. Apple, which Global Competition Review recognized as its 2022 Matter of the Year.

Antitrust and competition

Dr. Vieira has assessed class certification, liability, and damages issues in a range of matters involving allegations of monopolization and tying. He has particular expertise with matters in the media, telecommunications, and technology industries. His experience includes:

  • Evaluating demand and competition using proprietary, transaction-level datasets to assess competition between platforms
  • Applying complex structural models to assess companies’ market definition and post-merger incentives.
Article

Efficiencies Defense in the Spotlight After T-Mobile/Sprint Ruling

Case

T-Mobile/Sprint Merger Approved

Case

United States v. AT&T Inc. et al.

Case

Proposed Merger of Aetna and Humana Enjoined