Lun Ai

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I am a Postdoctoral Research Fellow at European Molecular Biology Laboratory (EMBL-EBI) in Cambridge UK, working with Julio Saez-Rodriguez.

My goal is to develop reliable AI systems that are evaluable, drive real-world discovery, and are usable by scientists.

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News

Mar 08, 2026 I presented at face-to-face meeting of Kidney Precision Medicine Project on organising community-driven challenges as driver of treatment development for chronic kidney diseases.
Jan 26, 2026 My work “Adaptive Data–Knowledge Alignment in Genetic Perturbation Prediction” with my student Yuanfang Xiang has been accepted to ICLR 2026.
Oct 19, 2025 Our work on “Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models” is published in Machine Learning Journal.
Sep 11, 2025 I presented my sole-author work on “Boolean Matrix Logic Programming on the GPU” at the 5th International Joint Conference on Learning & Reasoning in Surrey UK.
May 01, 2025 I am joining European Molecular Biology Laboratory (EMBL-EBI) to work with Julio Saez-Rodriguez on the Kidney Precision Medicine Project for discovering new molecular mechanisms that can inform novel treatment of chronic kidney diseases.
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).