Lun Ai

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I am postdoc in the Synthetic Biology (Baldwin) Lab at Imperial College London. It excites me to consider AI’s possibilities in reshaping people’s lives and our understanding of the world.

Interests: My career mission is to develop sustainable and user-friendly AI technologies that can help us tackle pressing scientific and societal challenges. I specialise in AI in science, human-AI partnerships, eXplainable AI (XAI) and logic-based AI (Inductive Logic Programming, ILP).

Networks:

Doctoral research: I built Ultra-Strong Machine Learning (human-AI partnership) frameworks and characterised properties to enhance human learning via operational approaches and ILP systems. I obtained my doctoral degree under the supervision of Prof. Stephen Muggleton, in collaboration with Prof. Ute Schmid from University of Bamberg.

News

Nov 08, 2024 I presented “Active Abductive Learning of Multigenic Interactions from High-Throughput Repression Screening Data” at AAAI Fall Symposium on Integrated Approaches to Computational Scientific Discovery (Online).
Sep 22, 2024 I presented Active learning of digenic functions with boolean matrix logic programming at the 4th International Joint Conference of Learning and Reasoning (Nanjing, China).
May 01, 2024 I received my PhD degree in Computing Research. Here is my thesis on “Effects of Machine-Learned Logic Theories on Human Comprehension in Machine-Human Teaching”. I truly appreciate Prof. Stephen Muggleton for the amazing support and examiners (Prof. Francesca Toni and Prof. Nick Chater) for their insightful feedback.
Nov 15, 2023 I presented A Comprehensible Framework to Active Learning Genome-Scale Metabolic Networks at AAAI Fall Symposium on Artificial Intelligence for Synthetic Biology (Online).
Nov 14, 2023 I presented Explanatory machine learning for sequential human teaching at the 3rd International Joint Conference on Learning and Reasoning, IJCLR2023, (Bari, Italy).
Nov 02, 2023 I presented Effects of explaining machine-learned logic programs for human comprehension and discovery at The Dagstuhl Seminar on Approaches and Applications of Inductive Programming, Schloss Dagstuhl, Germany.
Sep 26, 2023 I presented Explanatory machine learning for sequential human teaching at Imperial College London explAIn Technical Workshop on Explainable AI, Interactivity, and Natural Language, London, UK.
Mar 27, 2023 I presented (abstract/slides) at AAAI Spring Symposium 2023 of Computational Approaches to Scientific Discovery, USA.
Jul 13, 2022 I presented (slides) at the Explainable AI Seminar, Imperial College London, UK.
Jun 07, 2022 I presented (poster) at Towards the future of AI workshop, Imperial College London, UK.