Liz is an experienced researcher, having spent nearly a decade in roles dedicated to data analysis, project management, data management, and survey design.

In her role at CMB, Liz specializes in techniques such as conjoint analysis, latent class clustering, maximum difference scaling, and key driver analysis. She works on many CMB projects across industries, including technology, ecommerce, financial services, and healthcare. Key clients have included Nintendo, Electronic Arts, Vanguard, Fidelity, and Cigna.

Prior to joining CMB, Liz worked as an analyst for the New England Journal of Medicine. She has a B.A. in Cognitive Science and an M.S. in Applied Research.