AI in Data-Intensive Science and Industry Conference, UCL, London

[ncnik...@gmail.com]

Dear all,

We are delighted to announce the “AI in Data-Intensive Science and Industry” Conference, hosted by the UCL Centre for Data Intensive Science and Industry. The conference will take place from 30th June to 2nd July 2025 at University College London.

This interdisciplinary meeting brings together researchers from Astrophysics, High Energy Physics, Computer Science, and Industry to exchange insights and share experiences in Machine Learning (ML) and Artificial Intelligence (AI).

Keynote Speakers Include:

Andrew Duncan (Director of Science and Innovation, Alan Turing Institute)
Ciarán M. Gilligan-Lee (Head of Causal Inference, Spotify, Dublin)
Chris Lintott (Prof. of Astrophysics, University of Oxford)
Emily Shuckburgh (Director of ‘Cambridge Zero’, University of Cambridge)

Topics Include:

• Examples of ML problems in Astrophysics & High Energy Physics
• From ML to Physics & from Physics to ML
• Surrogate & Generative models
• Graph Neural Networks & Geometric Deep Learning
• Discovery & Anomaly Detection
• Simulation-Based Inference & Uncertainty Quantification
• Interpretability & Explainability
• Ethics, Sustainability & Resource-efficient AI

Registration link, Website & Programme:

https://www.ucl.ac.uk/data-intensive-science-industry/news/2024/dec/explore-future-ai-data-intensive-science-and-industry

Registration is open until May 12th. Conference fee is £150 (Payment details to follow soon)

If you have any questions, please feel free to reach out. We look forward to welcoming you to London in June!

On behalf of the organizers,

Nikos Nikolaou

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Dr. Nikolaos Nikolaou

Machine Learning, AI & Data Science Expert

Lecturer (Assistant Professor) in Data Intensive Science, UCL
https://nnikolaou.github.io