Welcome

Hello! My name is Siu Lun Chau (周兆麟), currently a postdoctoral researcher at the Rational Intelligence Lab within CISPA Helmholtz Center for Information Security in Germany. I work under the guidance of Dr. Krikamol Muandet, focusing on advancing the theory and practice of epistemic machine learning, i.e. making models acknolwedge what they don't know, and effecitively communicating what they know. To achieve this goal, we need better methods for modelling uncertainty, explanability, and preferences.

Before joining CISPA, I obtanied my DPhil in Statistical Machine Learning from the University of Oxford, where I worked on problems in the intersection of kernel methods and Gaussian processes under the supervision of Prof. Dino Sejdinovic. I also interned at Amazon as an Applied Scientist, where I tackled coherent forecasting problems for the EU logistics network. I also interned at the Max Planck Institute for Intelligent Systems, where I worked on improving econometric models with modern machine learning approaches.

I hold both a master's and undergraduate degree in Mathematics and Statistics with First Class Honours from the University of Oxford. During my master's, I worked with Prof. Mihaela van der Schaar on modelilng diseases trajectories using Bayesian nonparametric methods.

You can read more about my research interests here. Please do not hesitate to reach out if you would like to collaborate, I am always excited to hear from you :)

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