Ronald Robertson is a Research Scientist at the Stanford Internet Observatory who combines a PhD in Network Science with a psychology background to study how algorithms and humans interact online. His recent work probes how platforms like Google and YouTube steer users toward partisan, unreliable, or extremist content, blending experimental design, large-scale data analysis, and algorithm auditing. With a decade of experience spanning academia, industry (Microsoft), and applied behavioral research at AIBRT, he brings both rigorous network methods and practical experiment-building skills. He has a track record of leading teams, securing funding, and communicating findings to academic and public audiences, and he occasionally consults on projects at the intersection of networks, algorithms, and human behavior. Outside work he plays guitar and pursues new cultures and knowledge, reflecting a persistent curiosity that informs his interdisciplinary research.
10 years of coding experience
7 years of employment as a software developer
University of California San Diego
Doctor of Philosophy (PhD), Network Science, Doctor of Philosophy (PhD), Network Science at Northeastern University
Tools for auditing autocomplete on Google and Bing
Contributions:10 commits, 3 PRs, 17 pushes in 8 months
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Ronald Robertson - Research Scientist at Stanford University