Yan Leng

Human Dynamics
  • Research Assistant

 I am a Ph.D. student in the Human Dynamics group at the MIT Media Lab, supervised by Professor Alex 'Sandy' Pentland. I received my Master of Science degrees in Computer Science and Transportation Engineering from MIT in 2016. Please refer to my personal website for more information about me. 


The broad theme of my research interest is to use large-scale behavioral datasets to understand, explain and predict human behaviors to inform policy and mechanism designs in a networked environment.


Over the past few years as a graduate student and a researcher at MIT, I have developed extensive research experience, including analyzing behavioral data from multiple sources to uncover regularities in behaviors and preferences and applying a wide variety of computational and statistical tools to elucidate insights. For example, I have worked on how phone communications trigger the behavioral change in the mobile-phone-based social network and how collectively-coordinated decision-makings improve transportation system efficiency.


I aim to further these lines of inquiry and precisely to und… View full description

 I am a Ph.D. student in the Human Dynamics group at the MIT Media Lab, supervised by Professor Alex 'Sandy' Pentland. I received my Master of Science degrees in Computer Science and Transportation Engineering from MIT in 2016. Please refer to my personal website for more information about me. 


The broad theme of my research interest is to use large-scale behavioral datasets to understand, explain and predict human behaviors to inform policy and mechanism designs in a networked environment.


Over the past few years as a graduate student and a researcher at MIT, I have developed extensive research experience, including analyzing behavioral data from multiple sources to uncover regularities in behaviors and preferences and applying a wide variety of computational and statistical tools to elucidate insights. For example, I have worked on how phone communications trigger the behavioral change in the mobile-phone-based social network and how collectively-coordinated decision-makings improve transportation system efficiency.


I aim to further these lines of inquiry and precisely to understand how social influence spreads over dynamic social networks and how to design interventions to achieve more efficient collective actions in the Information Age.