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Personal profile

Research interests

Lecturer in machine learning and data science

Research interests: Bayesian inference and modelling, machine learning/deep learning, statistical signal processing, Monte Carlo numerical methods, sampling technqiues.


Please see my personal homepage for details.


Teaching interests

I teach CM50264 Machine Learning 1 and CM50268 Bayesian Machine Learning.

Willing to supervise doctoral students

Education/Academic qualification

Bayesian Statistics & Signal Processing, Doctor of Philosophy, University of Cambridge


Bayesian Inference & Numerical Methods, Master of Engineering, McGill University


Bachelor of Engineering, Beijing University of Posts and Telecommunications


External positions

Associate Editor, IET Signal Processing Journal

2019 → …

Visiting Research Scientist, University of Cambridge

2019 → …

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Research Output

  • 5 Conference contribution
  • 4 Article

Improving the efficiency and robustness of nested sampling using posterior repartitioning

Chen, X., Hobson, M., Das, S. & Gelderblom, P., 15 Jul 2019, In : Statistics and Computing. 29, 4, p. 835-850 16 p.

Research output: Contribution to journalArticle

Open Access

Surrogate regression modelling for fast seismogram generation and detection of microseismic events in heterogeneous velocity models

Das, S., Chen, X., Hobson, M. P., Phadke, S., van Beest, B., Goudswaard, J. & Hohl, D., 1 Nov 2018, In : Geophysical Journal International. 215, 2, p. 1257-1290 34 p.

Research output: Contribution to journalArticle

Open Access

Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models

Das, S., Chen, X. & Hobson, M. P., 1 Jun 2017, In : IEEE Transactions on Computational Imaging. 3, 2, p. 316-329 14 p.

Research output: Contribution to journalArticle

Open Access

A Bayesian particle filtering method for brain source localisation

Chen, X., Särkkä, S. & Godsill, S., 1 Dec 2015, In : Digital Signal Processing. 47, p. 192-204 13 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)

Multiple dipolar sources localization for MEG using Bayesian particle filtering

Chen, X. & Godsill, S., 21 Oct 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 949-953 5 p. 6637789. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)