Summary
Simon Angus is a Professor of Economics and computational complexity scientist who applies numerical simulation, machine learning, agent-based modelling and data engineering to social, biological and physical science problems. He leads large-scale applied ML and NLP projects that mine public comment and media to surface disadvantage and policy insights, and co-founded the cloud-driven Monash IP Observatory—now monitoring over 400 million internet devices with billions of daily measurements. His research fuses complexity economics and evolutionary game theory, producing models of open-ended technological change and the emergence of shared intentions on networks. Simon’s work has informed partners from the UN to major newsrooms, reflecting a rare combination of theoretical depth, production-grade infrastructure, and policy impact. An industrial chemist-turned-economist with a PhD from UNSW, he is a “specialist generalist” who moves seamlessly between code, causal inference and real-world measurement.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at UNSW Business School
UNSW Sydney