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
Our April Seminar Series will be led by Professor Francesco Rubino, a Bariatric Surgeon at KCL.
Past Seminars
2026 Seminars
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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”will be 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.