siu lun chau




🚨🚨 PhD Opportunities: Interested in bringing in epistemic intelligence to machine learning systems? I have several openings for PhD students to start in Aug 2026 to be based in Singapore and are looking for candidates with a strong mathematical, statistical, or machine learning background. More details can be found here.

Welcome

Hi, my name is Siu Lun (Alan) Chau.

I am an Assistant Professor in Statistical Machine Learning at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. I lead the Epistemic Intelligence & Computation (EPIC) Lab, understanding and addressing epistemic uncertainty in machine learning—how to represent, quantify, propagate, compare, and explain knowledge-level uncertainty in intelligent systems.

Background. From 2023 to 2025, I was a Postdoctoral Researcher at the Rational Intelligence Lab within CISPA Helmholtz Center for Information Security, Germany, under the supervision of Dr. Krikamol Muandet. Between 2019 and 2023, I pursued my DPhil in Statistics at the University of Oxford under the supervision of Prof. Dino Sejdinovic. During my doctoral studies, I also interned at the Empirical Inference department of the Max Planck Institute for Intelligent Systems, Tübingen and at Amazon UK. I hold both a Master’s and a Bachelor’s degree in Mathematics and Statistics, graduating with First Class Honours from the University of Oxford, where I received the Departmental Prize for ranking top of the cohort.


News

Oct-2025

I am coorganising the 1st Workshop on Epistemic Intelligence in Machine Learning at EurIPS 2025! Please come and visit if you care about knowledge-level uncertainty and want to have a discussion with the community!

Sep-2025

Our paper Integral Imprecise Probability Metrics have been accepted at NeurIPS 2025!

Jul-2025

Honoured to receive the IJAR Young Researcher Award (First Prize) at ISIPTA 2025, a milestone recognising our efforts at the intersection of imprecise probability and machine learning!

May-2025

I will be presenting Credal Two-sample Testing at ISIPTA 2025! Excited to share this work with the Imprecise Probability community!

May-2025

Our paper on Truthful Elicitation of Imprecise Forecasts has been accepted at UAI 2025 as an Oral paper!