Professor Fong, Chung Hang Edwin 方頌亨
Professor Fong, Chung Hang Edwin 方頌亨
| Year | Awarding Institution | Qualification |
|---|---|---|
| University of Cambridge | MEng | |
| University of Oxford | Ph.D. |
I am currently an assistant professor at the Department of Statistics and Actuarial Science at the University of Hong Kong.
I was previously a data scientist at Novo Nordisk, where I developed novel statistical methods within the healthcare setting. Before that, I completed my PhD at the University of Oxford and the Alan Turing Institute, supervised by Prof. Chris Holmes.
My current research explores Bayesian methods that are motivated by prediction - this encompasses topics in Bayesian nonparametrics, scalable inference, and model selection. In particular, I find generalized Bayesian procedures to be an exciting avenue of research for tackling issues like scalability and model misspecification. Some examples of these methods include general Bayesian updating, the Bayesian bootstrap and the martingale posterior.
My work also touches on topics in machine learning and conformal prediction. I’ve also recently started to take an interest in causal inference and its applications in clinical trials, as well as the overlap with Bayesian techniques.
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