AI-Fun with ELLIS Seminar | Theo Damoulas
| Dates: | 16 April 2025 |
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| Times: | 11:00 - 12:00 |
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| What is it: | Seminar |
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| Organiser: | Faculty of Science and Engineering |
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| Who is it for: | University staff, External researchers, Alumni, Current University students |
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| Speaker: | Theo Damoulas |
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The Manchester Centre for AI Fundamentals and Manchester's ELLIS Unit are co-hosting a series of seminars featuring expert researchers working in the fundamentals of AI.
Title: TBC
Bio: I am a Professor in Machine Learning and Data Science with a joint appointment in Computer Science and Statistics. I am a Turing AI Fellow (2021-2026) having received the UK Research and Innovation (UKRI) Turing AI Acceleration Fellowship in order to lead research on setting the Machine Learning Foundations of Digital Twins. I am an ELLIS member and also affiliated with New York University as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP). My research interests are in probabilistic machine learning and Bayesian statistics with an emphasis on the study and integration of various forms of structure and inductive biases (structured priors, spatiotemporal dependencies, dynamics, compositions, physical laws, flows, causality, etc) while advancing robust and scalable approximate inference methodologies. My research has broad applications in Digital Twins, Bayesian nonparametrics and spatiotemporal problems in urban science and computational sustainability. I am the founder and PI of the cross-departmental Warwick Machine Learning Group and I lead two large projects at The Turing that are impact stories.
Travel and Contact Information
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G1.07
Alan Turing Building
Manchester
