Talks by our CDT students. 2026 Leonie Bossemeyer 'CleverBirds: A multiple-choice benchmark for fine-grained human knowledge tracing' AI for Science Lightening Talk (Athens) 2026Wolf de Wulf 'An introduction to Pynapple', SYNC Neural Data Analysis workshop, (Manchester), Open Software Summer School, (London) 2026 2025 Alex Belo: 'XChem Archive. How to Map, Curate, and Harness Historical Crystallographic Fragment Screen Data' (Oxford) 2025Leonie Bossemeyer: 'PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs' Vision Seminar (London) 2025Leonie Bossemeyer: 'CleverBirds: A Multiple-Choice Benchmark for Fine-Grained Human Knowledge Tracing (London) 2025Yu Cheng: 'Visually Interpretable Subtask Reasoning for Visual Question Answering' Spotlight at Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (USA) 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) 2025Fiona Smith: Best free paper award at the IRM conference in Barcelona entitle 'Preliminary findings of Anastomosis: AI Approaches to Monitoring Surgical Inpatients' (April 2025)Luwei Wang: 'Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data' Forty-first Conference on Uncertainty in Artificial Intelligence (Brazil) 2025 Luwei Wang: 'Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data' UK AI Research Symposium (Newcastle) 2025Lars Werne: 'Learning, sleep replay, consolidation of contextual fear memories and impact of trauma : A neural network model' Computational Psychiatry Conference (Germany) 2025Yongshuo Zong: 'Towards stronger and safer vision-language models' INVICTA Spring School keynote talk, https://invicta.inesctec.pt/ (Portugal) 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) 2024Dominic Phillips: 'MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous Generative Flow Networks' Mathematics Seminar (University of Geneva) 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: 'Numerics with Coordinate Transforms for Efficient Brownian Dynamics Simulations' Numerical Methods Reading Group and Mathematics Seminar (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: 'Numerics 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 2022Angeletos Nikitas Chrysaitis: 'First impression bias in the development of perceptual priors', TEX2022: Bringing together Predictive Processes and Statistical Learning 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 2022Dominic Phillips: 'Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models' AAAI Conference, Washington DC 2025Xiao 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 Thursday 24 July 2025
