Academic Fellow In Multimodal AI at The University of Sheffield
Sheffield, England, United Kingdom
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Summary
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Xianyuan Liu is an Academic Fellow in Multimodal AI and Assistant Head of AI Research Engineering at the University of Sheffield, with eight years of experience building robust, deployable multimodal ML systems. His research focuses on decision-support models for materials design and drug discovery, bridging signal-processing rigor from his PhD with practical engineering for real-world deployment. He has progressed through roles from visiting researcher to senior AI research engineer and now fellow, reflecting a track record of translating advanced models into usable tools. Based in Sheffield, he contributes to institutional ML engineering efforts (SheffieldML, Shef-AIRE, pykale) and emphasizes data-driven robustness and reproducibility—often tackling noisy, heterogeneous scientific data that typical ML pipelines struggle with.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Signal and Information Processing, Doctor of Philosophy - PhD, Signal and Information Processing at University of Chinese Academy of Sciences
Bachelor of Engineering - BE, Measuring Control Technology & Instruments, Bachelor of Engineering - BE, Measuring Control Technology & Instruments at Southeast University
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Xianyuan Liu - Academic Fellow In Multimodal AI at The University of Sheffield