RICHENG (RYAN) PIAO

Bridging the Gap Between Economic Theory, 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 navigates the pivotal convergence of traditional causal inference and high-dimensional machine learning. Whether I am evaluating the antitrust implications of algorithmic pricing, architecting new AI readiness frameworks for higher education, or exploring platform economics, my goal is to produce rigorous, data-driven, and economically literate solutions.

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CORE DOMAINS

Academic teaching, applied economic 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.

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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 basic AI Literacy to true AI Readiness, preventing cognitive offloading 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.