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Xindi (Cindy) Hu
- Environmental health
- Geospatial analytics
- Data visualization
- Risk-adjustment models
- Health Information Technology and Analytics
- Water and Sanitation
Xindi (Cindy) Hu is a data scientist at Mathematica. She has expertise in applying geospatial data and analyses to support evidence-based policymaking. Her research interest focuses on primary interventions to improve population health through improved environmental quality such as air, water, and diet. In 2019, she and two colleagues from Harvard University won an award from the Association of Public Data Users for an interactive website that educates the public about regulated and unregulated chemical contaminants in U.S. tap water.
Currently, Hu applies her training to a wide range of projects in support of federal, state, and nongovernment clients. Using methods that include quasi-experimental design, quality measure development, and microsimulation modeling, she provides expertise in the application of innovative technical solutions for the Centers for Medicare & Medicaid Services and the Agency for Healthcare Research and Quality. Hu leads a project to support Maryland in implementing the Total Cost of Care Model. She is also the technical lead for an evaluation of the Robert Wood Johnson Foundation’s State-Focused Portfolio using social network analysis.
Before joining Mathematica in 2018, Hu was a postdoctoral fellow at the Harvard John A. Paulson School of Engineering and Applied Sciences. Hu’s research has been published in Environmental Science & Technology Letters, Environmental Health Perspectives, and Journal of Exposure Science and Environmental Epidemiology, among others. She earned her Sc.D. in Risk and Decision Sciences from the Harvard T.H. Chan School of Public Health.