Engr. Joshua Dimasaka, MS, MA, MRes is a Filipino Civil Engineer and a Geospatial AI & Disaster Risk Researcher at the UKRI EPSRC Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) and Cambridge University Centre for Risk in the Built Environment (CURBE). He develops artificial intelligence methods to quantify exposure and risk of the built environment at large scales, enabling the beginnings of a global risk audit. His work measures the spatiotemporal changes in disaster risk profiles over time to assess whether countries are making progress in reducing disaster risk, ultimately to inform our collective efforts on the Sendai Framework for Disaster Risk Reduction 2015-2030.

Joshua received his BS in Civil Engineering from the University of the Philippines Los Baños, MS in Civil & Environmental Engineering and MA in Public Policy as the first Filipino Knight-Hennessy Scholar at Stanford University, Executive Education in Entrepreneurship and Innovation at Stanford Graduate School of Business, and MRes in Environmental Data Science at the University of Cambridge. He worked for Stanford Land, Buildings & Real Estate as an earthquake risk consulting assistant 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. He also worked with US Geological Survey to use machine learning and causal inference on NASA satellite imagery products to improve PAGER, a global real-time earthquake hazard and loss estimation system.

For any inquiries, job opportunities (e.g., consulting, internships, etc.), collaboration, and public engagement, please feel free to send a message to dimasakajoshua@gmail.com.