Ranked in 1 Practice Areas
4

Band 4

Competition/Antitrust

Brazil

3 Years Ranked

About

Provided by Marcela Mattiuzzo

Brazil: Contentious

Practice Areas

Data Protection, Technology and Antitrust

Career

As advisor and Chief of Staff to the president of CADE from 2015 until 2016, Marcela acquired a wide breadth of knowledge in antitrust matters, as well as in the composition and organization of the Brazilian System for Competition Defence. She was directly involved in the agenda that led to the many guidelines CADE issued in the past years – leniency, compliance, settlements, and the horizonal mergers guidelines. Marcela joined VMCA when the firm was launched, in January 2017, becoming the partner responsible for technology and data privacy matters, as her academic path focuses on internet and technology – currently, she directly advises clients such as Facebook, Ambev, Baxter, Braskem, among others. In January 2019, Marcela was appointed head of the firm’s recently launched Data Privacy and Technology practice.

Publications

- “Algorithms and Big Data: Considerations on Algorithmic Governance and its Consequences for Antitrust Analysis”(Revista de Economia Contemporânea — Journal of Contemporary Economics, v. 23, n. 2, mai/ago 2019).

- The Brazilian Data Protection Policy and its Impacts for Competition Enforcement (Competition Policy International“, v. 2, p. 19-23, 2019), co-author. -

Online Advertising Platforms and Personal Data Retail: Consequences for Antitrust Law (Competition Policy International Antitrust Chronicle, v. 7, p. 1, 2015).

- Antitrust Compliance Programs: The Brazilian Experience (Competition Law and Policy in Latin America: Recent Developments, Wolter Kluwers, 2017, v.?, p. 59-71).

- Business Models and Big Data: How Google Uses Your Personal Information (PrivacidadeemPerspectivas. Lumen Juris, 2018, v. 1, p. 1-256).

Personal

Marcela is a PhD candidate at the University of São Paulo (USP), where she also concluded her Master in Constitutional Law, which was devoted to studying big data and algorithmic systems, more precisely the challenges of algorithmic discrimination.

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