Lun Ai
Postdoc
Biography
I specialise in logical programming, which uses programs to reason about the world and derive verifiable hypotheses. My doctoral research used logic programming to facilitate human comprehension and human-AI partnership. My recent work developed a self-driving lab that combined logic programming and lab robots to automate gene function discovery in bacteria. My research was supported by the UKRI EPSRC Human-Like Computing network, EU Horizon 2020 research and innovation and the UKRI BBSRC AI-4-EB consortium.
Research Interests
One overarching goal of AI research is to explore how artificial intelligence can assist scientific discovery. I focus on developing human-like AI systems that generate interpretable knowledge. I am interested in bridging existing biological knowledge with high-dimensional data by integrating logical reasoning, mechanistic modelling, and deep learning. I am also investigating how large language models can reason about complex biological questions, formulate plans for analysing multi-omics data, and propose testable, logic-driven hypotheses.
Professional Career
2025 - present
Postdoctoral Research Fellow, European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), UK
2024 - 2025
Research Associate, Department of Life Sciences, Imperial College London, UK
2020 - 2024
Research Assistant, Department of Computing, Imperial College London, UK
Education
2019 - 2024
PhD in Computer Science, Department of Computing, Imperial College London, UK
2015 - 2019
Master of Engineering in Computer Science, Specialist in Artificial Intelligence, Department of Computing, Imperial College London, UK