Dr. Schwartz has over 15 years’ experience as a consultant on auction strategy, economics, data science and statistics, mathematical optimization, and software. His work has included quantitative modeling and optimization of economic data and business decisions; advising bidders in major-asset auctions on strategy and building software for auction analysis and training; case management for testifying experts in commercial and antitrust litigation and regulatory actions; and economic research in telecommunications and electricity markets.
Dr. Schwartz has provided strategic advice to the senior management of some of the biggest telecommunications firms worldwide, and his advice, analysis, and algorithms have powered their auction decision making.
As a co-founder of Secretariat’s auctions-software practice, Dr. Schwartz has designed and built for clients numerous turnkey and custom software solutions, including auction winner determination and pricing solvers, multiple practice-auction platforms and bid-tracking systems, bid visualization tools, data pipelines, and market demand forecasting tools. Additionally, he has overseen and trained teams of data and software engineers and instituted quality-assurance best practices. Beyond software for auctions, he has designed and built econometric analyses, data warehouses, and damages estimation tools.
Dr. Schwartz has extensive experience in both case management and technical analyses for litigation involving class certification, monopolization claims, discrimination, and damages estimation; for regulatory actions in energy and telecommunications; and merger reviews. These cases have especially involved networked industries and auction markets, including radio spectrum and telecommunications, electricity markets, and online ad auctions. Additionally he has studied automobile insurance, donor organs, healthcare, cable set-top boxes, casinos, athletic shoes, oil and gas, hydroponics, clinical experiment design, interstate retail, and higher education.
His ongoing research encompasses algorithm design in statistics and optimization.