Joshua Dimasaka is a registered Filipino civil engineer and a postgraduate researcher at the UKRI EPSRC Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER), where he is pursuing fully-funded MRes+PhD degrees at the University of Cambridge. He received his BS in Civil Engineering from the University of the Philippines and his MS in Civil & Environmental Engineering and his MA in Public Policy from Stanford University.

He recently worked for Stanford LBRE as a risk consultant to Dr. Eng. Fouad Bendimerad and the local government of Quezon City (Philippines) as an EMI Urban Resilience Fellow to support data-driven policies to manage earthquake risks of over 400,000 buildings. At Stanford, he worked with US Geological Survey to use machine learning on NASA satellite imagery products to improve PAGER, a global real-time earthquake hazard and loss estimation system. He is a recipient of the Stanford Knight-Hennessy Graduate Fellowship, 2018 BPI-DOST Science Award, 2017 3rd MOCES PICE National Award, and DOST & RSFI Undergraduate Scholarships.


  • Nov 11, 2022 - Nature Communications has accepted our 'geo-special' work on using ML for Bayesian updating the global earthquake loss estimation. Updates to come!
  • Sep 26, 2022 - Started MRes+PhD AI4ER at the University of Cambridge.
  • Aug 31, 2022 - Completed Global Urban Resilience Fellowship at EMI Philippines. Published technical reports to come!
  • Aug 4, 2022 - Participated as part of the EMI expert observers for the Quezon City Public Service Continuity Plan Tabletop Exercise preparing for the "Big One" Mw-7.2 earthquake.
  • Jun 12, 2022 - Graduated MS Civil & Envi. Engineering and MA Public Policy at Stanford University.