Dr. Zexun Chen

Dr. Zexun Chen

Lecturer/Assistant Professor

University of Edinburgh


I’m currently a Lecturer / Assistant Professor in Predictive Analytics at the University of Edinburgh Business School. Before joining Edinburgh, I was a Lecturer in Computer Science at the University of Exeter. In the previous, I worked as a research fellow in the Department of Informatics, University of Sussex (UK) during the period 2017 - 2019, and as a postdoc in the Department of Computer Science, University of Exeter (UK) during the period 2019 - 2020.

My research interests focus on probabilistic machine modelling and non-parametric Bayesian predictive methods such as Gaussian Process and Student-t Process modelling. As their applications, I also have expertise in time series prediction, data-driven option pricing, financial data analysis, algorithmic fairness and human mobility.

Currently, I am leading an online Research Interest Group on Gaussian Process Modelling (approx. 700 members till February 2023) and the topics include Bayesian non-parametric modelling, Bayesian optimisation, Bayesian inference, Bayesian computation and many related application areas. Join Us via Slack !!!

About PhD application, please keep an eye on the University of Edinburgh Business School Website. If you would like to work with me, please feel free to send me an email to discuss the details or send me a direct message via Slack.

  • Gaussian Process
  • Bayesian Non-parametrics
  • Time Series
  • Algorithmic Fairness
  • Human Mobility
  • PhD in Mathematics and Statistics, 2017

    University of Leicester, UK

  • BSc in Mathematics and Applied Mathematics, 2013

    Shandong University, China


13/04/2022, great work with our team! Think of your privacy, look around your social connections online, and you’ll have interest in this paper, please see link.


Lecturer in Predictive Analytics
Aug 2021 – Present Edinburgh, UK

Deliver both online teaching and face to face teaching in Business School. Taught modules and programs include

Lecturer in Computer Science
Oct 2020 – Dec 2020 Exeter, Devon, UK

Deliver both online teaching and face to face teaching in Computer Science and Data Science. Taught modules include

  • Programming
  • Social and Professional Issues of the Information Age
  • Computer and Internet
Postdoctoral Researcher
May 2019 – Jul 2021 Exeter, Devon, UK

Join in

  • an US Army Research project: Identification of human mobility models using socio-spotio-temporal predictive models
  • BioComplex Lab
Research Fellow
Nov 2017 – Feb 2019 Brighton, East Sussex, UK

Join in

  • an EPSRC project: Injecting Ethical and Legal Constraints into Machine Learning Models
  • Predictive Analytics Lab (PAL)



Recent Publications

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(2022). Contrasting social and non-social sources of predictability in human mobility. In Nat Commun.

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(2022). Predictability states in human mobility.

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(2020). Tuning Fairness by Balancing Target Labels. In Front. Artif. Intell..

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(2019). Multivariate Gaussian and Student-t process regression for multioutput prediction. In Neural. Comput. Appl..

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