William Schwartz has more than ten years of experience as a consultant in business strategy, data science, and economics. His work includes quantitative modeling and optimization of economic data and business decisions, advising bidders on strategy in major-asset auctions, building software for auction analysis and training, and case management for testifying experts in commercial and antitrust litigation.

Dr. Schwartz has provided strategic advice to some of the largest telecommunications firms worldwide, where his advice, analysis, and algorithms have powered their auction decision-making. He has designed and built numerous turnkey and custom software solutions for clients, including econometric analyses, auction winner determination and pricing programs, 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.

He has considerable experience in both case management and technical analyses for merger reviews and litigation over class certification, monopolization claims, and damages estimation in various industries: electricity, automobile insurance, healthcare, cable set-top boxes, casinos, athletic shoes, oil & gas, hydroponics, clinical experiment design, interstate retail, and pharmaceutical patents.

His ongoing research encompasses algorithm design in statistics and optimization.