CHAI Seminar series
We are excited to bring you the CHAI Seminar Series, organised by our Early Career Researchers (ECRs). This seminar series will provide a platform for knowledge exchange and discussion on cutting-edge research in causal AI and related fields.
Upcoming Seminars
Join us for the next CHAI Seminar Series featuring Dr Jason Hartford (University of Manchester) and Maggie Lei (University of Edinburgh). Together, they will share their latest research on innovative AI methods for healthcare, spanning causal machine learning, biological systems modelling, and biomedical signal processing.
Date: Wednesday, 9 September
Time: 1:00 PM (UK time)
Join: https://teams.microsoft.com/meet/384475939434245?p=5ZFvMorH5d5mDjRf5N
Meeting ID: 384 475 939 434 245
Past Seminars
2026 Seminars
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Our June Seminar. was presented by Dr. Fani Deligianni. In this session, Dr. Deligianni presented recent advances in physiologically-informed AI methods for high-frequency biosignal analysis and their application in critical care research.
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Our May Seminar Series featured two complementary talks exploring innovative approaches to the early detection and characterisation of Alzheimer’s disease. Together, they brought perspectives from neuroscience, biomedical engineering and network modelling.
Talk 1 : From Eye to Brain: Investigating EEG and Retinal Measures for Early Detection of Alzheimer’s Disease by Melody Sequeira
Talk 2 : Granular Changes in Brain Networks: Multiplex Nodal Modularity for Alzheimer’s Disease Characterisation and Simulation by Avalon Campbell‑Cousins.
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Our April Seminar Series was led by Professor Francesco Rubino, a Bariatric Surgeon at KCL.
Unfortunately, due to technical difficulties we were unable to record this session.
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Our March seminar “Optimal decision rules with policy-relevant guarantees” was led by Dr. Mats Julius Stensrud, Chair of Biostatistics at EPFL in Lausanne.
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Our February seminar “Assessing Real-World Performance of AI-Based Neuroimaging Diagnosis Tools Through Hospital Data Warehouses”was delievered by Ninon Burgos who is a CNRS research director at the Paris Brain Institute in France, co-head of the ARAMIS Lab, and PR[AI]RIE fellow.
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Our January seminar “Causal Effect Estimation with Context and Confounders”was led by Professor Arthur Gretton, UCL.
2025 Seminars
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Our December seminar “Towards Inherently Interpretable Neural Networks for Differential Diagnosis” was led by Tom Nuno Wolf, a PhD candidate at TU Munich.
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Our November seminar “Amiguous Interventions and Causal Abstractions” was led by Dr. Sander Beckers, University College London (UCL).
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Our October seminar “Causal Roadmap for generation of reliable Real-World Evidence with application to genomics and biomarker discovery” will be led by Dr. Ava Khamesh, University of Edinburgh.
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Our September seminar “See, Think, Act: Training Agents by Reinforcing Reasoning” was led by Dr. Maning Li, Northwestern University.
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Our June seminar “How Causal Analysis Can Help Improve Radiation Cancer Treatment” was led by Dr. Eliana Vasquez Osorio, University of Manchester.
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Our May seminar titled “On the Identifiability of Switching Dynamical Systems”, was given by Dr Yingzhen Li, Imperial College London.
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Our April seminar titled “Regulating AI for Healthcare: Developments, Challenges, and Prospects.”, was given by James Lowe, University of Exeter.