Summary
Ching Jin is an Assistant Professor and computational social scientist with nine years of experience blending statistical physics, network science, and AI to model and predict social diffusion across technology, science, commerce, and medicine. She develops analytical frameworks, network models, and causal inference techniques to extract quantitative insights from large-scale datasets, informing technology forecasting, sustainable growth, and science policy. Her work uniquely connects natural- and social-science methods to address equity and inclusion in information and innovation diffusion. With roles spanning Northwestern, Kellogg, and the Center for Interdisciplinary Methodologies at Warwick, she pairs deep theoretical training (PhD in Physics) with practical interdisciplinary collaboration. Colleagues note her talent for turning abstract complexity-science ideas into actionable models that guide real-world decision making.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Northeastern University