Social and Decision Analytics

Cesar Montalvo

  • Postdoctoral Research Associate
Cesar Montalvo headshot


Cesar Montalvo is a Postdoctoral Research Associate with the Social and Decision Analytics Division of the Biocomplexity Institute and Initiative. He works at the interface of economics, statistics, mathematical models and public policy. Cesar is an economist who graduated from the University San Francisco de Quito and a Master’s degree in Economics from Iowa State University. He received his Ph.D. in Applied Mathematics for Life and Social Sciences from Arizona State University. His dissertation focused on dynamical systems related to social mobility and education.

He currently works on projects regarding the skilled technical workforce and social mobility at the community level. In the past, he served as a Coordinator of Information at the Office of President in Ecuador where he advised the president on areas of education, health and natural resources. He also worked as Director of Research at the Ministry of Production. Cesar has been an instructor of classes for micro and macroeconomics, and rural development in the United Sates, Czech Republic and Ecuador. He has also mentored students at the Mathematical Theoretical Biology Institute at Arizona State University.

Cesar is driven by a strong desire to carry out research and practice that contribute to reduce poverty and inequality in our communities.


    • Dynamical Systems
    • Health Economics
    • Political Economy
    • Statistical Models
    • Higher Education and Social Mobility
    • Macroeconomics
    • Social Contagion Models
    • Epidemiology
  • Ph.D. in Applied Mathematics for Life and Social Sciences, Arizona State University School of Human Evolution and Social Change

    M.S. in Agricultural and International Economics, Iowa State University

    B.A. Finance and Economics, Universidad San Francisco de Quito - Quito, Ecuador

Past Project
We are working with the National Center of Science and Engineering Statistics to address this gap. By discovering nontraditional data sources and using them to describe and quantify the skills and non-degree credentials that can lead to STW jobs, we can help policymakers and educators address an urgent problem and empower job seekers to make informed decisions about their future.
Official Statistics