Talks by our CDT students. 2025 Achille Fraisse: 'Learning Meaningful Representations of Biological Time-Series Using auto-encoders'. CAI4H (York) 2025Barry Ryan: 'Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinson’s Disease'. International Conference on Intelligent Systems for Molecular Biology (Liverpool) 2025Barry Ryan: 'Can AI track the progression of Parkinson’s disease from a drop of blood?' Pint of Science event (Edinburgh) 2025 2024 Raman Dutt: 'Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity', Microsoft Research Biomedical Imaging Group, 2023 Barry Ryan: 'Multi-Omic Analysis with Networks'. CGEM Work in Progress Talks, 2024Achille Fraisse: 'Representation learning on Time series', BioSynSys (Montpellier) 2024Evgenii Lobzaev: 'Protein engineering using transformer-based energy landscape approximation '. EMBL Symposium: AI and Biology (Heidelberg, Germany) 2024Barry Ryan: ‘An Integrative Network Approach for Longitudinal Stratification in Parkinson’s Disease’. Machine Learning in Science Conference (Glasgow) 2024Aleksandra Sobieska: ‘Modelling large-scale 3D genome organisation using ML-informed polymer simulations’ Conference in AI for Health (Edinburgh) 2024Yongshuo Zong: 'Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations', BMVA Symposium on Vision and Language 2024 2023 Rayna Andreeva: 'Magnitude as a novel metric for measuring embedding quality'. EpiCrossBorders symposium, Munich 2023Rayna Andreeva: 'Metric Space Magnitude and Machine Learning', contributed talk, Magnitude, Osaka, Japan 2023Leonardo Castorina: 'How to Solve the Protein Folding Problem: AlphaFold2' Toward Data Science Blog Post 2023Filippo Corponi: 'Challenges and opportunities in personal sensing for mood disorders'. ecnp Neuroscience Applied digital online series 2023Justin Engelmann: 'Exclusion of poor quality fundus images biases health research linking retinal traits and systemic health', ARVO annual meeting 2023Justin Engelmann: 'Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation', UK Biobank Eye & Vision Consortium meeting 2023Matúš Falis: 'Can ChatGPT Generate and Code Discharge Summaries?', HealTAC 2023Matúš Falis: 'Addressing Concept Sparsity in Medical Text with Medical Ontologies', Manchester Clinical NLP Group 2023Alessandro Fontanella: 'ACAT: Adversarial counterfactual attention for classification and detection in medical imaging', AI for Healthcare CDT conference 2023Bryan Li: 'Dynamic V1 response prediction with a video Transformer', NeurIPS 2023 Dynamic Sensorium workshop 2023Charlotte Merzbacher: 'Bridging the gap between genome-scale and kinetic models' SynBioUK Conference 2023Charlotte Merzbacher: 'Machine learning for complex biological circuit design' AI for Healthcare CDT conference 2023Charlotte Merzbacher: 'Awarded SFI working group for project “Uncertainty and Representation" Talk and award, SFI Complexity-GAINS Summer School 2023Dominic Phillips: 'Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations' Numerical Methods Reading Group (University of Geneva) 2023Dominic Phillips: 'Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations' Machine Learning and Simulation of Stochastic Dynamics with applications in materials science (University of Birmingham) 2023Dominic Phillips: 'Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations' The 14th International Conference in Monte Carlo Methods and Applications (Paris) 2023Barry Ryan: 'Multi-Omic Graph Diagnosis (MOGDx) : A data integration tool to perform classification tasks for heterogenous diseases', ENGoGS 2023Xiao Yang: 'How the different diagnostic AI get embedded into healthcare' Conference 4S, Honolulu 2023Yongshuo Zong: 'MEDFAIR: Benchmarking Fairness for Medical Imaging', Workshop on Fairness of AI in Medical Imaging 2023 2022 Rayna Andreeva: 'Topological data analysis for papillae classification', CAI4H 2022Leonardo Castorina: 'Latent Diffusion Explained Simply (with Pokémon)' Towards AI Blog Post 2022Leonardo Castorina: 'Obsidian Tutorial for Academic Writing' Better Humans Blog Post 2022Justin Engelmann: 'Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation', AI and Machine Learning in Healthcare Summer School at the Cambridge Centre for AI in Medicine 2022Justin Engelmann: 'Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation', Plenary of the VAMPIRE research group 2022Alessandro Fontanella: 'ACAT: Adversarial counterfactual attention for classification and detection in medical imaging', CAI4H - Joint AI Health meeting 2022Alessandro Fontanella: 'The Challenges and Applications of Deep Learning Methods on Medical Imaging for Acute Ischemic Stroke', Edinburgh Imaging Academy - NIS meeting 2022Alessandro Fontanella: 'The Challenges and Applications of Deep Learning Methods on Medical Imaging for Acute Ischemic Stroke', HDR UK - Applied Analytics seminar 2022Aryo Pradipta Gema: 'Knowledge-Augmented Clinical Language Models', Guest Lecturer at Bina Nusantara University 2023Aryo Pradipta Gema: 'Knowledge Graph Embeddings in the Biomedical Domain', Guest Lecturer at Bina Nusantara University 2023Bryan Li: 'Identifying digital biomarkers of illness activity and treatment response in bipolar disorder', UKRI AI CDTs in Healthcare Conference 2022Domas Linkevicius: 'Linking models of biochemical dynamics via mass-constrained neural ordinary differential equations', 21st International Conference for Systems Biology 2022Charlotte Merzbacher: 'Machine learning approaches for dynamic metabolic engineering', International Conference on Systems Biology 2022Charlotte Merzbacher: 'Synthetic biology in the age of machine learning', International Conference on Systems Biology organised workshop 2022Angeletos Chrysaitis Nikitas: 'First impression bias in the development of perceptual priors', TEX2022: Bringing together Predictive Processes and Statistical Learning 2022Xiao Yang: 'Beyond image: How Brain Legions are Automatically Recognised' Conference EASST, Madrid 2022 2021 Rayna Andreeva: 'Automatic papillae identification using discrete curvature analysis', Food Oral Processing, Early Career Researcher session 2021Rayna Andreeva: A Geometric Approach to Papillae Identification in 3D Meshes, Young Researchers Forum, 37th Symposium on Computational Geometry 2021 https://cse.buffalo.edu/socg21/program.htmlMatúš Falis: 'Towards Better Use of Ontological Structure in the Evaluation of Automated ICD Coding', HealTAC Healthcare Text Analytics Conference 2021Matúš Falis: 'CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification', EMNLP 2021Alessandro Fontanella: 'Deep learning methods to identify ischemic stroke lesions from CT scans of the brain', SICSA Conference 2021Evgenii Lobzaev: 'Primer on Variational Inference and its application to Deep Learning', 6th Winter School on Data Analytics DA 2021Evgenii Lobzaev: 'AI-driven design of enzyme replacement therapies', SICSA Conference 2021 2020 Rayna Andreeva: 'DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis', 7th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA7)Rayna Andreeva, Alessandro Fontanella: 'Identifying patient status using optical coherence tomography angiography (OCTA): A transfer learning approach', 12th SINAPSE Annual Scientific Meeting 2020Alessandro Fontanella: 'Classification with a domain shift in medical imaging', NEURIPS- Medical imaging meets NEURIPS workshopAlessandro Fontanella: 'Deep learning methods to identify ischemic stroke lesions from CT scans of the brain', UKRI CDT Biomedical AI Postdoctoral talk 2020Alessandro Fontanella: 'How to make better predictions in medical imaging', UKRI CDT Biomedical AI Masters' Student talk 2020 This article was published on 2025-07-24
