Stefan Boedeker has more than three decades of experience in providing economics and damages expertise in prominent litigation cases, specializing in statistical consulting. Stefan focuses on the application of economic, statistical, and financial models to areas such as solutions to business issues, economic impact studies, and complex litigation cases.

Stefan has provided economic, financial, and statistical consulting and expert services to clients across a wide range of industries, including healthcare, pharmaceuticals, life sciences, technology, entertainment, manufacturing, retail, real estate, insurance, and financial services, as well as federal, state, and local governments. He has issued hundreds of expert reports and given deposition and trial testimony in state and federal courts, arbitrations, and regulatory hearings over 140 times.

Stefan has extensive experience in employment litigation, leveraging expertise applying economic and statistical theories and methodologies to employment-related matters such as discrimination, wrongful termination, and wage and hour. His work has included designing and conducting surveys, time and motion studies; observational studies; statistically analyzing results of surveys and studies (including other experts’ studies); applying statistical sampling methodologies to extrapolate results from a subset to a universe of individuals; developing statistical models/tests to examine liability; applying economic theory to develop damages scenarios; and analyzing large employment related databases. Stefan’s extensive work in healthcare, pharmaceuticals, and life sciences includes providing statistical and economic consulting to clients such as providers, payors, and federal, state, and local government agencies. He has experience in assisting healthcare organizations facing disputes where complex economic issues must be assessed and where complex statistical methods are necessary to answer questions of liability, over/underpayments, and damages.

Stefan has helped clients negotiate and present statistical methodology to the Office of Inspector General, Centers for Medicare & Medicaid Services, and Department of Justice when assessing the appropriateness of claims submission and payment practices based on statistical samples. He has coordinated statistical sampling methodology on numerous healthcare audits, and served as the statistical expert with appointed independent review organizations for healthcare organizations, including providers and durable medical equipment (DME) companies in response to corporate integrity agreements. In survey research, Stefan has evaluated surveys and designed and statistically analyzed surveys for IP cases, consumer class actions, employee research, and consumer/market research. He has extensive experience designing and analyzing conjoint-based empirical studies.

Stefan has applied advanced statistical sampling methods in litigation cases as a testifying expert and consultant, and general business consulting projects. His work has included designing statistical sampling plans and statistically analyzing the results of such samples, including the application of statistical sampling theory to extrapolate results from a subset of items to the underlying universe of interest of all items. He frequently reviews and rebuts other experts’ statistical sampling in litigation. Stefan’s management consulting experience includes applying predictive modeling techniques, data science, advanced multivariate and non-parametric statistical methods, and advanced Monte Carlo simulation techniques. He provides solutions to questions of competitive position diagnostics, marketing and pricing, business unit development, product portfolio optimization, scarce resource allocation, decision tree analysis, customer relationship management, customer knowledge management, and acquisition and share-of-wallet. He has also created best practices that help increase customer retention, forecast key business and economic variables, advertise effectiveness, minimize customer churn, predict customer behavior, determine optimal product portfolios, and identify optimal product bundling and cross-selling opportunities.

Prior to StoneTurn, Stefan held leadership positions with litigation consulting and accounting firms. Early in his career, he was an economic and statistical research assistant for the German government.