Big Data Expert Witnesses

Big data expert witnesses and consultants listed here may be able to form expert opinions, draft expert witness reports, provide expert witness testimony at deposition and/or trial as or serve as consulting (non-testifying) experts on big data. The big data expert witness listings on this page are typically from fields/areas of expertise such as: Business Damages, Economics, Statistics, and Technology.

Philip J. Cross, Ph.D.

Class action, antitrust, labor and damages expert

Kenyon Consulting LLC

Washington, District Of Columbia
Economics, Statistics - Lost wages, Antitrust, Class action, Lost profits, Breach of contract, Damages, Liability, Survey design, Conjoint analysis, Big data, Machine learning, Privileged consulting, Discrimination, Wrongful termination, Wrongful death, Industrial espionage, Fraud detection, Employment discrimination
Dr. Cross has over 20 years of experience as an economist and statistician in academia, government, and consulting. His consulting experience includes testifying as an expert in class-action litigations, antitrust matters, lost profits matters, and employment discrimination matters. Dr. Cross holds a Ph.D. from the University of Wisconsin. He previously taught in the Economics Department at Georgetown University, and has held visiting positions at Johns Hopkins University and the University of Melbourne. Dr. Cross’s experience includes: Being retained as an economic and statistical expert in litigation matters in both U.S. District courts and state courts. He has opined in antitrust, class action, employment discrimination, breach of contract and regulatory matters. Working on litigation matters involving antitrust issues, class certification, statistical sampling, survey design, conjoint analysis, health-care reimbursement, wage and hour cases, product liability, economic dama...

Joseph L Sutherland, PhD

Data, analytics, and technology - Emory Faculty

J.L. Sutherland & Associates, Inc.

Atlanta, Georgia
Business Damages, Technology - Economics, Econometrics, Data, Analytics, Big Data, Machine Learning (ML), Artificial Intelligence (AI), Software, Cloud Computing, Data Science, Survey Research, Digital Advertising, Finance, Banking, Healthcare, Antitrust, Class Action, Class Certification, Contractual Disputes, Cybersecurity
Dr. Joe Sutherland is the founding director of Emory's Center for AI Learning, a professor in Emory’s Department of Quantitative Theory & Methods, associate faculty at the Empathetic AI for Health Institute at Emory Healthcare, principal investigator of the Emory branch of the U.S. AI Safety Institute Consortium, and fellow of the Weidenbaum Center on the Economy, Public Policy, and Government at Washington University in St. Louis. His work has been featured on FOX 5 Good Day Atlanta, Atlanta Journal-Constitution, Forbes, Georgia Trend, Government Technology, MIT Sloan Management Review, and many other venues. His professional background includes leadership service at The White House, Cisco, Amazon, and as CEO of an AI startup. His research exploring the utilization of machine learning and AI in congressional lawmaking, state policy leadership, and development economics is published in top peer-reviewed journals. He holds patents for systems that manage and analyze petabyte-level da...