With over fifteen years of experience at the intersection of economics and technology, Matthias Lux applies advanced econometrics and data science tools to competition matters, regulatory investigations, and commercial litigation. Dr. Lux frequently consults on data-intensive disputes in the UK and United States, assessing liability, quantifying damages, and evaluating class certification.
Dr. Lux specializes in antitrust and competition matters, with a focus on alleged cartels, follow-on damages, and class actions. He has designed empirical strategies to evaluate complex issues in the agricultural, automotive, financial services, real estate, and technology sectors.
Dr. Lux has held senior data science roles at Uber, where he developed dynamic pricing algorithms, and at Deliveroo, where he built statistical infrastructure for randomized experiments. At Cornerstone Research, he draws on this operational experience to support clients in matters involving digital market dynamics, platform economics, and algorithmic pricing disputes.
Dr. Lux speaks frequently on topics such as algorithmic collusion, digital markets, and the role of modern econometric methods in competition law.
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