Summary
Yan Leng is an assistant professor and computational social scientist who leverages network theory, large-scale data, and machine learning to decode collective behavior on social networks. With a decade of experience spanning MIT Media Lab, Facebook, and UT Austin, he blends rigorous academic research with industry data-science practice. His PhD work focuses on collective behavior on networks, informing applied studies of information diffusion and human behavior at scale. Yan’s background in computational mathematics, transportation engineering, and computer science gives him a rare interdisciplinary toolkit for modeling socio-technical systems. Based in Austin, he actively seeks collaborations and is known for translating complex network theory into actionable insights for real-world platforms. An understated strength is his ability to move between experimental research and production-minded data science, enabling work that’s both theoretically grounded and operationally relevant.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, Transportation Engineering, Master’s Degree, Transportation Engineering at Massachusetts Institute of Technology
Bachelor's Degree, Computational Mathematics & Transportation, Bachelor's Degree, Computational Mathematics & Transportation at Beijing Jiaotong University
English, Chinese, Chinese