StoneTurn Partner Stefan Boedeker

Stefan Boedeker, a Partner with StoneTurn, has more than three decades of experience in providing economics and damages expertise in prominent litigation cases, specializing in statistical consulting.

As a litigation and management consultant, 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.

Over the course of his 30-year career, 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 deep expertise in applying economic and statistical theories and methodologies to employment-related matters such as discrimination, wrongful termination, and wage and hour cases. His work in such cases has included designing and conducting surveys, time and motion studies, and observational studies; statistically analyzing the results of such surveys and studies (his own and other experts’ studies); applying statistical sampling methodologies to extrapolate results from a subset to a universe of individuals; developing statistical models and tests to answer liability questions; applying economic theory to develop damages scenarios; and analyzing large employment related databases.

Stefan’s extensive work in the healthcare, pharmaceuticals, and life sciences space, 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 also helped clients negotiate and present statistical methodology to government agencies such as the Office of Inspector General (OIG), Centers for Medicare & Medicaid Services (CMS), and Department of Justice (DOJ) when assessing the appropriateness of claims submission and payment practices based on statistical samples. He also has coordinated statistical sampling methodology on numerous healthcare audits. In addition, Stefan has 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 the area of survey research, Stefan has both evaluated surveys and designed and statistically analyzed surveys in the context of IP cases, consumer class actions, employee research, and consumer/market research. In particular, he has extensive experience designing and analyzing conjoint-based empirical studies. Stefan has also worked in the application of advanced statistical sampling methods in the context of litigation cases as a testifying expert and as a consultant. He also applied statistical sampling in general business consulting projects. His work in such cases and projects to date 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 (“sample”) to the underlying universe of interest of all items. He has also frequently been asked to review and rebut other experts’ use of statistical sampling in the context of litigation.

As a management consultant, Stefan’s experience includes the application of 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 (e.g., marketing budgets), 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 both privately held and publicly traded litigation consulting firms, as well as national accounting firms. Early in his career, he was an economic and statistical research assistant for the German government.