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}Grounded in first principles, my research agenda is organized around three areas: macroeconomics, Bayesian statistics, and game theory. One line of my current research develops time and frequency-domain approaches to dynamic equilibrium models of expectations formation. Another line develops Markov chain Monte Carlo methods for estimating large-scale structural models. These tools are applied to study monetary and fiscal policy, asset prices, and social networks. Recently, I like to train Bayesian neural nets regularized by economic theory. My previous research studies the evolution of cooperative and altruistic human behavior.
As an educator, I teach economics, statistics, and computer science to both high school and college students. Meanwhile, I am a thematic investor for space economy and have rich experience in derivative trading.
Check out my channels on YouTube, Discord, and X for more, and email me if you have any questions. Feel free to sponsor (preferably via Dogecoin) the open-source content of this homepage.
- 🔥 Spring 2025 monetary economics 🔥
- 🔥 Fall 2024 neural networks 🔥
- Rocket Lab Q3 earnings call [11/12/24]
- Appetite for Treasuries, Debt Cycles, and Fiscal Inflation [PDF], manuscript, 2022
- Profile: Curriculum Vitae, Research Papers, Blog, Google Scholar
- Courses: Microeconomics, Macroeconomics, Monetary Economics, International Macroeconomics, Bayesian Statistics, Neural Network, Social Network
- Affiliations: Saint Louis University, Business School 101, Insightful Minds in International Macro, Center for Economic Behavior and Decision-making, Rocket Lab
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