• Founded and lead the Life Sciences Data Science Center of Excellence, focused on the application of machine learning, digital, claims analytics, and other innovative analytical methodologies within the Life Sciences industry. • Lead the analytical consulting team for Guidehouse's VA account, supporting a wide variety of strategic and operational efforts ranging from rate setting to payment integrity. • Developed data analytics strategic plans for external clients and internally within Guidehouse Consulting, including visioning, strategic planning, and KPI development. • Provided leadership-level direction for client-facing machine learning and analytical engagements, from the proposal stage through execution. Responsibilities included oversight and accountability for the project budget, team, client relationship, and deliverables. • Served as a leadership-level interface between business and analytics functions, including the identification and application of business-relevant analytical insights and the communication of complex technical findings to non-technical executive audiences. • Responsible for recruiting, staffing, and retaining a team of healthcare data scientists, including the performance review process and hiring decisions.

• Provided senior leadership at top 10 biopharma and medical technology companies with data-driven strategic insights, driving sales, top- and bottom-line results.• Lead and managed consulting engagements, including managing staff, budget, and project timelines. • Performed best-in-class patient population sizing estimates and detailed market segmentations, drawing upon claims data analysis and extensive peer-reviewed literature review. • Created financial models of physician therapy adoption, using specialist-by-specialist adoption propensities calculated from sophisticated assessment of adoption barriers. Adoption models feed into market penetration models, including expected revenues, profits, and NPV. • Built machine learning algorithms to identify target accounts predisposed toward product adoption, resulting in faster and higher rates of product adoption.• Executed claims data-driven patient pathway modeling analyses, including modeling in-hospital patient pathways between admission and discharge, as well as time-series modeling of total services utilization.

• Provided clients with an improved understanding of their markets using claims data and clinical research to size and segment patient populations.• Performed target account identification and sizing, synthesizing files from multiple diverse data sources to ensure complete coverage and accurate targeting. • Deployed rigorous, detailed financial forecasts to help clients translate epidemiological data into business priorities, including identification of the most important market development and market access strategies.

• Performed deep data analysis, including predictive modeling using machine learning techniques, market sizing, and quasi-experimental analyses such as regression analysis. Data included a wide variety of sources, such as claims, operational data from care coordination programs, and data gathered from the administration of original random sample surveys. Insights provide strategic support, inform program implementation, and assess the economic and clinical value of therapies and interventions. • Used cost and quality data to calculate provider quality performance scores for value-based contracts, increasing quality and driving down cost resulting in positive ROI. • Interpreted the most recent research and strategic intelligence, improving the quality of organizational programs and investments and maximizing the impact of organizational investments. • Monitored and evaluated changes in public policy and the associated impacts on the healthcare sector.

• Established data-driven strategy for health plan-provider collaborations with several partnering care systems, designed to improve population health and impact the triple aim.• Reduced cost and improved quality and actionability of data insights by reimagining and restructuring the analytics vendor RFP selection process.• Managed consultants working on a variety of analytical applied research efforts. • Represented research interests on company projects, ensuring that data is provided to maximize decision support.• Disseminated data insights to organizational leadership increasing evidence-based decision making on corporate initiatives.

• Managed administration and design of statistical survey products, developing them into the organization’s largest single product line.• Built organizational capital with public sector and created statewide population health strategy by serving as lead epidemiologist on the Minnesota State Epidemiological Outcomes Workgroup.• Supervised research assistant working on analytical quality improvement efforts