siu lun chau




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, where the mission is to develop intelligent systems that can recognise their own limitations and communicate what they know--and how well they know it--with clarity and confidence. To achieve this, we conduct research into both the theoretical foundations and practical application of Uncertainty-Aware Machine Learning. You can read more about my research here.

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. My research centered on imprecise probabilistic machine learning, a generalised probability theory framework, and their integration to machine learning challenges, including hypothesis testing, supervised learning, and forecast elicitation under imprecision. Between 2019 and 2023, I pursued my DPhil in Statistics at the University of Oxford, where I worked at the intersection of kernel methods and Gaussian processes, 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, working on improving econometric models using modern machine learning techniques. 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.

I also enjoy bridging the gap between academia and industry. I interned at Amazon as an Applied Scientist, addressing coherent forecasting problems for the EU logistics network. I also provided data science and machine learning consulting services for various startups, including Ravio, Catalyst AI, Cambridge Spark, Crop4Sight, and gini. I also co-founded Oxford Strategy Group Digital, Oxford’s first student-led data science consultancy group.


News

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!

May-2025

Our paper “Kernel Quantile Embeddings and their Associated Probability Metrics” has been accepted at ICML 2025!

Jan-2025

Our paper on the first ever Credal Two-sample Testing has been accepted at AISTATS 2025! Many thanks to the amazing crowd of collaborators.

Nov-2024

I will be starting my Assitant Professorship at the College of Computing and Data Science at Nanyang Technological University in Singapore in May 2025.

May-2024

Our paper Domain Generalisation via Imprecise Learning has been accepted as a spotlight paper for publication at the International Conference on Machine Learning (ICML) 2024! 🎉

Feb-2024

I presented “Stochastic Shapley values for Gaussian process models with application to Explainable Bayesian Optimisation” at the Institute for Informatics, LMU.

Feb-2024

I was invited to participate in the Dagstuhl Seminar on ‘AI for Social Good’ this year to learn about and tackle challenges faced by NGOs when implementing AI solutions.