🚨🚨 PhD Opportunities: Interested in bringing in epistemic intelligence to machine learning systems? I have several openings for PhD students in 2025 to be based in Singapore and are looking for candidates with a strong statistical, mathematical, or machine learning background. More details can be found here.

Bio 📖

Halo, my name is Siu Lun (Alan) Chau. I am an incoming Assistant Professor (commencing May 2025) at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. I will be leading the Epistemic Intelligence & Computation (EPIC) Lab, where our mission is to develop intelligent systems that can recognise the limitation of their knowledge (uncertainty-awareness), be able to communicate their insights (explainability), and effectively collaborate with human users (preference modelling). You can read more about my research here.

From 2023 to 2025, I was a Postdoctoral Researcher at the Rational Intelligence Lab within the CISPA Helmholtz Center for Information Security, Germany, under the supervision of Dr. Krikamol Muandet. My research centered on imprecise probabilities, a generalised framework of probability theory, and their application to machine learning challenges, including hypothesis testing and supervised learning under imprecision. Between 2019 and 2023, I pursued my DPhil in Statistics at the University of Oxford, where I worked on the intersection of kernel methods and Gaussian processes with applications to trustworthy machine learning, 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.

In addition to my research, 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.

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