Teaching & Training
Teaching
Graduate courses and intensive boot camps in macroeconomics, computational methods, and open-source research collaboration.
University of Chicago
M.A. Program in Computational Social Science (MACSS)
- Perspectives on Computational Modeling (MACS 30100)
- Perspectives on Computational Analysis (MACS 30000)
- Perspectives on Computational Economic Modeling (MACS 30150)
- Perspectives on Computational Research (MACS 30200)
- Perspectives on Computational Economic Research (MACS 30250)
- Structural Estimation (MACS 40200)
- Economic Policy Analysis with Overlapping Generations Models (MACS 40000)
Brigham Young University
Department of Economics
- Advanced Macroeconomic Theory and Computational Methods (Econ 413R)
- International Monetary Theory (Econ 459)
- Intermediate Macroeconomics (Econ 381)
- Readings in Computational Economics (Econ 498R)
- Readings in Dynamic Programming (Math 391R)
Workshops & Boot Camps
Intensive training in computational economics
- OSE Lab Boot Camp, University of Chicago (Summers 2017–2019)
- Overlapping Generations Model Building for Policy Analysis — Government of India, Tax Policy Research Unit (2018)
- Overlapping Generations Model Building for Policy Analysis — Joint Research Centre, European Commission, Seville (2017)
- BYU Macroeconomics and Computational Laboratory Boot Camp (2012–2015)
- Advanced Git and GitHub Research Collaboration — NYU Stern Economics Pre-doc Training Program (2019)