CV

Employment

• Septmber 2024 to present: Professor at Department of Econometrics and Business Statistics, Monash University

• July 2022 to present: Nominated Actuary at Department of Econometrics and Business Statistics, Monash University

• May 2022 to September 2024: Associate Professor at Department of Econometrics and Business Statistics, Monash University

• Jan 2019 to May 2022: Senior Lecturer at Department of Econometrics and Business Statistics, Monash University

• March 2016 to Dec 2018: Lecturer at Department of Econometrics and Business Statistics, Monash University

Education

Doctor of Philosophy in Economics, Department of Economics, University of Melbourne (2016).

Thesis: Efficient and generic Monte-Carlo methods for computing sensitivities of stochastic systems. 

PhD Supervisor: Mark Joshi

Projects

Project title: Efficient Bayesian Markov chain Monte-Carlo for Ultra-High-Dimensional Time Series

Dan Zhu  with hosting Organisation: University of Kent

British Academy Visiting Fellowship 2025

Project title: Carer Payment Assessment Process

Badji, Samia (Primary Chief Investigator (PCI))Petrakis, Melissa (Chief Investigator (CI)), Petrie, Dennis (Chief Investigator (CI)), Chen, Gang (Chief Investigator (CI)), Zhu, Dan (Chief Investigator (CI)) Li, Jackie (Chief Investigator (CI)), Walters, Caroline (Chief Investigator (CI)) 

Centre for Health Economics Social Work, Econometrics & Business Statistics
28/05/24 → 6/01/25

Project title: Data61 CRP #45 - Developing advanced Monte-Carlo simulation methods and utilizing the partial proxy approach to create stable and accurate first and second-order derivatives of financial options
Zhu, D., Zhu, Z., Langrene, N., Dong, W. & Knight, K.
CSIRO Data61 (Victoria)
1/01/20 → 31/12/22

Project title: Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output
Jacobi, L., Zhu, D. & Joshi, M. S.
Australian Research Council (ARC)
1/01/18 → 31/12/20

Professional Membership 

Fellow of the Institute of Actuaries of Australia (2016 - Present).