Ravi Goyal

Lead Data Scientist
  • Epidemic modeling
  • Statistical network analysis
  • Data reporting and visualization
  • Biostatistics
  • Social determinants of health
Focus Areas
  • Health
  • Health Information Technology and Analytics
  • Population Health
About Ravi

Ravi Goyal has more than 15 years of experience applying data science techniques to deliver insight on public policy and social needs. His expertise includes statistical network analysis, cluster randomized trials, longitudinal analysis, correlated data, dependent data, graph theory, simulations, and epidemic modeling.

Goyal currently works on numerous projects to inform how public health officials track and respond to COVID-19 cases, including Mathematica’s COVID Simulator, which can predict the impact of different reopening policies at local and state levels. He has also worked on complex models of 108 different school scenarios, including urban, suburban, and rural settings, to help educators make informed decisions about reopening schools during the COVID-19 pandemic.

Goyal’s other project work includes evaluating a Robert Wood Johnson Foundation initiative that aims to improve community health by promoting multisector collaboration to connect information systems and share data. In addition, he leads data reporting and visualization efforts for the Accountable Health Communities Model. This initiative of the Centers for Medicare & Medicaid Services tests whether systematically identifying and addressing health-related social needs affects health care costs and reduces health care use. He also serves as technical lead on an evaluation of the cost-effectiveness of the Ryan White HIV/AIDS Program’s system of care, and he is the lead data scientist for a project using sensor technology to reduce concussions in youth athletics. Among his past projects, he designed and built epidemic simulations to estimate the efficacy of prevention interventions on the HIV epidemic in sub-Saharan Africa.

Before joining Mathematica in 2015, Goyal held positions with the Analysis Group and the National Security Agency and consulted with Community Partners International, Harvard School of Public Health, Harvard Humanitarian Initiative, and the Clinton Foundation. He has a Ph.D. in biostatistics from Harvard University.

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