Marius Hofert

Marius Hofert serves as Associate Professor of Statistics in the Department of Statistics and Actuarial Science at The University of Hong Kong's School of Computing and Data Science, with office in Room 228 of the Run Run Shaw Building. His research fundamentally addresses statistical dependence structures and computational methodologies for risk assessment.

His core research domains include:

• Copula theory and dependence modeling for complex stochastic systems
• Advanced Monte Carlo and quasi-random sampling techniques
• Quantitative risk management frameworks for financial and insurance applications

Recent publications demonstrate increasing integration of machine learning with traditional statistical methods, particularly through generative neural networks for dependence modeling. His critical examinations of AI tools like ChatGPT in quantitative contexts reveal methodological pitfalls while exploring new computational frontiers.

As Academic Adviser in Risk Management, he mentors PhD candidates with strong mathematical backgrounds. He actively develops open-source statistical software through R packages including copula, nvmix, and qrmtools, maintaining the Quantitative Risk Management tutorial website (qrmtutorial.org).