معرفی
Matteo Malavasi is a Lecturer at the University of New South Wales (UNSW) School of Risk and Actuarial Studies. His academic expertise spans the critical intersection of climate risk, cyber risk, and actuarial science. With a PhD in Actuarial Studies and Business Analytics from Macquarie University (in cotutelle with University of Bergamo, Italy), Malavasi contributes to UNSW's reputation as Australia's most entrepreneurial university with research that addresses pressing global challenges in risk management and climate adaptation.
Dr. Malavasi's educational background includes:
- PhD in Actuarial Studies and Business Analytics from Macquarie University (in cotutelle with University of Bergamo, Italy)
Malavasi's research interests span multiple critical domains in contemporary risk management. His work focuses on climate change and associated risks, particularly flood risk management and climate adaptation pathways under uncertainty. He has developed sophisticated models for assessing sea level rise impacts and optimal adaptation strategies, as evidenced by his recent work on New York City. His research also addresses the growing threat of cyber risk, where he has created taxonomies and quantification methods to better understand cyber loss patterns across business sectors. His methodological expertise includes advanced statistical techniques, particularly copula modeling for dependency analysis in risk scenarios.
Malavasi's scholarly output demonstrates a clear evolution from foundational work in financial mathematics toward applied research addressing climate adaptation and cyber risk. His recent publications (2021-2024) show increasing focus on practical applications of risk theory to real-world challenges, with particular emphasis on the timing of climate adaptation decisions and cyber insurance viability. His articles reveal expertise in statistical modeling and a growing contribution to interdisciplinary risk assessment frameworks that bridge actuarial science, climate science, and cybersecurity.
While specific advising information isn't provided in the available materials, Malavasi's research profile suggests he likely supervises students working at the intersection of actuarial science, data analytics, and climate/cyber risk modeling. His work with quantitative risk modeling techniques would provide valuable training for graduate students pursuing careers in actuarial science, risk management, and financial analytics.
