Hallo! I am Siu Lun Chau and my friends call me Alan. I am currently a postdoctoral researcher at the CISPA Helmholtz Center for Information Security working with Dr. Krikamol Muandet to develop trustworthy machine learning algorithms drawing insights from economics. From 2018 to 2022, I did my DPhil (PhD) in Statistical Machine Learning at the University of Oxford. I was supervised by Prof. Dino Sejdinovic, Prof. Mihai Cucuringu and Prof. Xiaowen Dong. I hold a Masters and Bachelor in Mathematics and Statistics at the University of Oxford as well. I have perviously interned at Amazon London and the Max Planck Institute for Intelligent Systems.

Download my resumé here.

  • Economics and Experimental design
  • Kernel methods and Gaussian Processes
  • Ranking and Preference learning
  • Causal Inference and Econometrics
  • Explainability and Uncertainty modelling
  • Graph machine learning
  • DPhil in Statistical Machine Learning, 2019 - 2023

    University of Oxford

  • MMATH in Mathematics and Statistics (First Class Honours), 2017 - 2018

    University of Oxford

  • BA in Mathematics and Statistics (First Class Honours), 2014 - 2017

    University of Oxford



Postdoctoral Researcher
CISPA Helmholtz Center for Information Security
Mar 2023 – Mar 2025 Saarbrucken, Germany
Applied Scientist Intern
Jun 2022 – Dec 2022 London, UK
Data Science Consultant
May 2022 – Present London, UK
Research Intern
Oct 2021 – Present Tubingen, Germany
  • Supervised by Dr. Krikamol Muandet, working on the interface of machine learning and econometric modelling.
Cambridge Spark
Machine Learning Content Developer
Aug 2017 – Present London, UK
  • Designed data science and machine learning projects and delivered training courses to upskill students and corporates.
Machine Learning Engineering
Oct 2020 – Jan 2021 Hong Kong
  • Developed a Gaussian processes based explainable time series model for giniPredict, a forecasting tool built for use in Google spreadsheets for decision-makers.
Catalyst AI
Machine Learning Consultant
Apr 2019 – Oct 2020 Cambridge, UK
  • Developed forecasting models for clients ranging from agricultural tech and fashion retail company.
Founder and Managing Director
Apr 2017 – Apr 2019 Oxford, UK
  • Launched and managed Oxford first student-led machine learning consultancy group with over 50 technical consultants.


Explainability for Kernel Methods
Introducing model explainability via Shapley values.
Deconditional Downscaling with Gaussian Processes
Gave a talk on my work “Deconditional Downscaling with Gaussian processes”
LaTeX CV workshop
Gave an introductory workshop on LaTeX and CV writing using LaTeX.