Dr. Daniel Graham

Professor

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Biography

Dan Graham is a Professor of Statistical Modelling in the Department of Civil and Environmental Engineering at Imperial College London. He is the Head of the Imperial College London Centre for Transport Engineering and Modelling, as well as the Director of the Transport Strategy Centre. He coordinates the Data Science theme within the Department of Civil and Environmental Engineering. Additionally, he is a Project Partner in the Data Centric Engineering Program at the Alan Turing Institute and a Fellow of the Institute of Mathematics and its Applications and of the Royal Statistical Society. Dan also serves as a visiting Professor at Zhejiang University and South East University in China. His research group focuses on the applications of mathematical statistical models in transportation, with key themes including statistical modelling, performance analytics, causal inference methods, data centric engineering, economic modelling, operations planning, resilience and safety analyses. He has published extensively in these fields and holds citation records for a significant number of papers. Beyond his academic responsibilities, Dan advises on public policy at an international level and has served as a Specialist Advisor to the UK Parliamentary Select Committee on Transport.

Research Interests

Requirements for Imperial College London

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Materials Science Mechanical Engineering Civil Engineering Chemical Engineering Physics Chemistry
Application Checklist
  • Personal statement
  • CV/resume
  • Official university transcripts
  • Two academic or professional references
  • Application fee (£90)
Specialization Notes

Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.