Jeremy HENG

Jeremy HENG is an Associate Professor at ESSEC Business School, specializing in Information Systems, Data Analytics and Operations. He is affiliated with both the France and Singapore campuses, with his current position at ESSEC France since 2024 and prior experience at Harvard University as a Postdoctoral Fellow (2017–2019). His research focuses on Bayesian computation, sequential Monte Carlo methods, diffusion processes, and Monte Carlo variance reduction techniques, particularly for high-dimensional and discretized models.

• PhD in Statistics (University of Oxford, United Kingdom, 2017)
• BSc in Statistics (University College London, United Kingdom, 2012)

The majority of his publications address Bayesian inference, Monte Carlo methods, and stochastic differential equations, with applications in financial econometrics, generative modeling, and optimal control. He has received the 2022 Blackwell-Rosenbluth Award for his contributions to Bayesian analysis and has served as Co-Editor-in-Chief of Statistics and Computing (2022–2023).