Projects

Our lab specialises in leveraging statistical machine learning and Bayesian statistics across diverse fields, with a strong focus on clinical and environmental AI applications. We are dedicated to pioneering innovative machine learning techniques and creating impactful solutions to address critical challenges in dentistry and oral health, biodiversity, and computational statistics.

Currently funded projects

Selected research topics

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AI-assisted Dental Disease Detection with Radiography
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Bayesian Detector Combination

Object Detection with Noisy Crowdsourced (Multi-Rater) Annotations

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Parallel Variational Monte Carlo (ICML 2026)

Efficient Learning of Deep State Space Models via Importance Smoothing

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U-Mamba2 and U-Mamba2-SSL

Scaling State Space Models for Dental Anatomy Segmentation and Semi-supervised Tooth and Pulp Segmentation in CBCT

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Differentiable Particle Filtering