Individual Projects
Ongoing Projects
Counterfactual Explanations of Decisions of Deep Neural Networks with Applications in Medical Diagnostics
Causal Inference for Robust, Reliable, and Responsible NLP
Generative models of multi-modal neurophysiological measurements
Clinical translation of machine learning methods for accelerated cardiac magnetic resonance imaging
Understanding Diffusion Models
Multimodal LLM Grounding for Scientific Discovery
Inductive bias of learning algorithms in climate science
Inference for hybrid mechanistic models in neuroscience
Interacting quantum walks on Rydberg quantum simulators
Machine learning for the inverse problem in X-ray scattering for soft-matter systems
Learning Disentangled Hybrid Visual Representations
Completed Projects
Analytic classical density fuctionals from an equation learning network
Predicting anti-plasmodial antibody profiles specific for human malaria
Extracting Expertise from Tweets
Enhancing Machine Learning of Lexical Semantics with Image Mining
Interpretable Spatial Machine Learning for Environmental Modelling
Ethics and Philosophy Lab
Enhanced machine learning methods to predict, explore and understand post-translational protein modifications in microbial organisms
Short-to-Mid Scale Weather Forecasting with a Distributed, Recurrent CNN
Enhancing word learning in the Discriminative Lexicon with deep learning
Human-Robot Interface with Eye-Tracking
Model-based reinforcement learning with uncertainty-aware planning
Deep Stereo Vision
Modelling Behavioral Responses to Emotional Cues in Sports – A Bayesian Approach