Trivik Verma

Assistant Professor of Urban Science and Policy

Delft University of Technology

I am an Assistant Professor at the faculty of Technology, Policy and Management in Delft University of Technology. I lead the 4DCities research group at the intersection of Urban Science and Policy at the department of Multi-Actor Systems. I am also an active member of the Dutch Network Science community and the 4TU Centre for Resilience Engineering.

My research focusses on Computational Urban Science and Policy. Together with my group, we model cities at the intersection of data science and complex systems engineering in the frame of infrastructure development, meso-scale mobility prediction, and human well-being. I am particularly interested in the design of methods to aid in understanding urbanization processes and evaluating the effectiveness and implications of policies for the development of growing urban spaces and equitable use of resources.

Through my research, I have discovered that most systems have a tendency to form a core-periphery network that brings an imbalance in the distribution of resources in society. My research and education thus concentrate on understanding and designing urban spaces through the lens of social cohesion and inclusion.

I also instruct on remote expeditions for National Geographic where high school students have the opportunity to learn about conservation, anthropology, engineering and policy. Previously, I helped build a media and technology startup dedicated to the cause of making this planet a healthier place through authentic journalism and data science at The Outdoor Journal.


  • Urban Analytics
  • Data Science and Visualisation
  • Computational Modelling
  • Social Inclusion / Fairness
  • Sustainability
  • Mobility


  • PhD in Transport Modelling and Computational Statistics, 2016

    ETH Z├╝rich

  • MSc in Distributed Systems and Networks, 2012

    Delft University of Technology

  • BTech in Computer Science and Engineering, 2010

    Manipal Institute of Technology