Investigating spatio-temporal randomness of large earthquakes
- Supervisors: Prof Peter Sammonds and Dr Simon Day
- Funding: Aon Benfield and Qatar Re
- Email: firstname.lastname@example.org
Whether large earthquakes are random in space and time is disputed. Framing this as a pattern recognition problem, this study de-clusters and incorporates uncertainty within the instrumental catalogue, applying an updated self-organisation algorithm to identify spatio-temporal clustering since 1904.
- MSc Geophysical Hazards (part-time), University of College London, 2009–2011
- BSc Economic Science, University of Manchester, 2003–2006
Teaching Experience (Postgraduate Teaching/Guest Lecturer, 2020–2021)
- IRDR0015: Integrating Science into Risk and Disaster Reduction
Natural Catastrophe Risk professional with over 15 years of international experience, both in advisory and client roles. Strengths in project management, with experience building and prototyping tools in multi-model environments to support effective decision-making. A confident communicator who has a passion for learning and a proven track record deriving commercial benefit from analytics.