We recognize that collaboration drives evidence and insights. Partnerships with individuals and organizations that have complementary expertise help deliver results for our clients and build a more equitable and just world. Through our Consulting Fellows program, we collaborate with trusted, top-tier subject matter experts whose skills and knowledge augment those of our own staff. These partnerships help extend the impact of our research and evaluation and enhance our capabilities to help our clients find the answers they need as they address some of the world’s toughest challenges. Mathematica’s Consulting Fellows offer unique perspectives and diverse, real-world experience, whether providing advisory services or partnering on thought leadership, staff development, and more.

Meet Our Fellows

Climate Change

Dr. Michael Carter

Distinguished professor of agricultural and resource economics, University of California, Davis; Director, BASIS Markets, Risk and Resilience Innovation Lab; Director, Resilience+ Innovation Facility

Expertise: climate resilience measurement, specializing in agricultural economics

Dr. Michael Carter’s current research projects examine poverty dynamics and productive social safety nets; evaluate interventions to boost small farm uptake of improved technologies; and feature a suite of projects that design, pilot, and evaluate weather-based index insurance contracts to alleviate chronic poverty and deepen agricultural and rural financial markets. Carter is an elected fellow of the National Bureau of Economic Research, the Bureau for Research and Economic Analysis of Development, and the American Agricultural Economics Association.

Dr. Ritvik Sahajpal

Associate research professor, University of Maryland; crop condition co-lead, NASA Harvest and NASA Acres; former data advisory council member at Foundation for Food and Agriculture Research (FFAR)

Expertise: using Earth observation data to measure agricultural outcomes

Dr. Ritvik Sahajpal’s research expertise is broadly related to developing an understanding of how sustainable practices can help mitigate climate change impacts on agriculture using Earth observation data to monitor crop yields from field to global scales; modeling the impacts of conservative agriculture practices on soil health and crop yield; and mapping land use and land cover change and modeling their impacts on the carbon-climate system. Dr. Sahajpal uses both machine learning and data driven agro-ecosystem modeling techniques in his work. His research has been funded by NASA, FFAR, and the U.S. Agency for International Development, and published in journals like Nature, Environmental Research Letters, Geoscientific Model Development, and Science of the Total Environment.

Global

Dr. Alexander Rothkopf

Managing director, Leap Ahead GmbH

Expertise: using advanced data analytic methods and models to evaluate the impact of unforeseen events

Dr. Alexander Rothkopf’s research, policy advisory, and consulting work focuses on supply chains, supply disruptions, and resilience, as well as market insights and incentives. He works with the private sector, public entities, global health nonprofits, and disaster response organizations. He is particularly passionate about data-driven decision-making. Using small or very large data sets, he has provided insights to solve critical questions and explore new and innovative pathways for organizations to manage uncertainty, exceed stakeholder expectations, and save lives.

Health

Walter Linde-Zwirble

Chief data scientist, Trexin

Expertise: health outcomes and data science research

Walter Linde-Zwirble is a nationally recognized data scientist and analytics industry thought leader. He has over 30 years of experience in health outcomes and data science research. Linde-Zwirble has analyzed and modeled most aspects of healthcare delivery across all healthcare industry segments and has developed health state measures and prognostic measures for improved communication between stakeholders. He has also created simulations of the Medicare payment system, calculated cost-to-charge ratios, and modeled the impact of managed care on hospital outcomes.