RICHENG (RYAN) PIAO

Bridging Quantitative Social Science, Data Science, and the Algorithmic Era.

Assistant Teaching Professor | Tech Economist

Welcome! I am an Assistant Teaching Professor of Economics at Northeastern University. My work sits at the intersection of quantitative social science, causal inference, and high-dimensional machine learning. Whether I am studying algorithmic markets, designing AI-readiness frameworks for higher education, or building applied research workflows, my goal is to produce rigorous, data-driven, and publicly meaningful analysis that travels across economics and adjacent social science fields.

Explore AI in Pedagogy Read Tech Economist Insights

CORE DOMAINS

Academic teaching, quantitative social science research, and AI curriculum design.

METHODOLOGICAL PILLARS

Classical econometrics (causal inference) and high-dimensional machine learning.

GUIDING PEDAGOGY

"Foundations First, Expansion Second" framework for AI readiness.

Featured Hub

Navigate Core Workstreams

APPLIED ECONOMICS

Tech Economist Insights

Weekly long-form insights on platform economics, causal machine learning, and how major tech firms apply economics in real operations.

TEACHING FRAMEWORKS

AI in Pedagogy

Frameworks and research on moving students from AI literacy to AI readiness across quantitative social science, without sacrificing judgment in the algorithmic era.

CAUSAL INFERENCE

Academic Research

Empirical workflows and event-study dynamics covering AI job exposure, algorithmic pricing in app-based delivery, and broadband expansion.