Dr Jiabao Xu
- Lecturer (Biomedical Engineering)
Biography
I am a Lecturer (Assistant Professor) in Biomedical Engineering in the James Watt School of Engineering, which I joined in 2023.
I read Chemistry at Imperial College London (MSci) and completed my PhD in Engineering Science at the University of Oxford in 2020, spending part of it as a Visiting Research Scholar in Chemistry and Engineering at Boston University. I remained at Oxford as a postdoctoral research scientist until moving to Glasgow. Since 2026 I have also held a Visiting Professorship at Shanghai East Hospital, Tongji University.
My research develops single-cell Raman spectroscopy and artificial intelligence to read the chemistry of living cells without labels, and applies it to problems in infection, immunity and chronic disease. I have published more than 40 peer-reviewed outputs, 13 as first or joint first author and 7 as corresponding author, in journals including Nature Communications, Science Advances, PNAS, British Journal of Cancer and Advanced Science. I hold two patents on single-cell sorting and rapid pathogen identification, and I currently lead projects funded by BBSRC, the Royal Society and the Lorna and Yuti Chernajovsky Biomedical Research Foundation.
I am an Associate Editor at Frontiers in Cellular and Infection Microbiology and sit on the editorial boards of iMetaMed and Heliyon. I hold a Fellowship of Recognising Excellence in Teaching (PSF D2).
Personal website: jiabao-xu-glasgow.github.io
Research interests
My research develops single-cell technologies and machine learning for biomedical questions, and applies them across four connected areas.
- Single-cell Raman technologies. Raman-activated cell sorting and ejection, Raman stable isotope probing, and label-free Raman imaging, including high-throughput sorting by stimulated Raman-activated cell ejection.
- Artificial intelligence and data-driven bioanalytics. Deep learning pipelines for disease classification from spectra, multimodal learning across Raman, omics, imaging and clinical metadata, denoising autoencoders and explainable AI.
- Host-pathogen interactions and infectious disease. Culture-free identification of clinical pathogens and antimicrobial resistance profiling at the single-cell level, validated across more than 300 patients and three hospitals.
- Immune cells for disease diagnostics. Label-free Raman profiling of peripheral blood mononuclear cells for chronic fatigue and post-acute infection syndromes including ME/CFS, long COVID and chronic Lyme disease, for inflammatory autoimmune conditions such as psoriatic arthritis and SLE, and for cancer.
I also apply single-cell technologies to stem cell differentiation and ageing, and to engineered cells as a process analytics tool in biomanufacturing.
Grants
Current
- BBSRC, Transformative Research Technologies (2025 call). Unlocking the Phenotypic Dark Matter of the Microbial World via Plasmon-Enhanced Expansion Nanoscopy (PEEN). Principal Investigator, £173,341, 2026 to 2027.
- Lorna and Yuti Chernajovsky Biomedical Research Foundation. DECODE-FATIGUE: Deciphering Oxidative and Neurometabolic Drivers of Fatigue in Immune-Mediated Inflammatory Diseases via Single-Cell Raman Spectroscopy. Principal Investigator, £190,738, 2026 to 2028.
- Royal Society Research Grants. Rapid Identification of Bioplastic-Producing Microbes from Waste by Single-Cell Raman Sorting. Principal Investigator, £30,000, 2025 to 2027.
Completed
- NHS Greater Glasgow and Clyde Endowment Funds. Investigating Putative Central-Peripheral Metabolic Mechanisms in Psoriatic Arthritis Related Fatigue. Co-Investigator, £11,220, 2024 to 2025.
- University of Glasgow ECDP Rewards for Excellence. A single-cell platform for diagnosis and investigation of unexplained post-infection chronic fatigue syndromes. Principal Investigator, £10,000, 2024.
- UK-China Antimicrobial Resistance Initiative, Innovate UK / UKRI. Named researcher, £750,000, from 2020.
- ME Research UK. Named researcher, £50,000, from 2019.
- ME Association. Named researcher, £9,600, from 2018.
Supervision
I welcome enquiries from prospective PhD students interested in single-cell Raman spectroscopy, machine learning for biomedical data, infection diagnostics or immune profiling. Please contact me by email with a CV and a short statement of research interests.
Teaching
I contribute to the following courses in the James Watt School of Engineering.
- Advanced Artificial Intelligence and Machine Learning 5 (Level 5 and Masters)
- Introduction to Artificial Intelligence and Machine Learning (Level 4)
- Engineering Maths 1 (first year, cohort of more than 300 students, two blocks of 14 lecture modules annually)
- Business Planning and Management for Engineers (fourth year, all engineering disciplines)
- Overseas Immersion Programme, SIT and University of Glasgow Joint Degree Programmes (first-year engineering and computing students, approximately 400)
I hold a Fellowship of Recognising Excellence in Teaching (PSF D2, 2025).
Professional activities & recognition
Editorial boards
- 2022: Frontiers in Microbiology
- 2022: Cancers
- 2024: Heliyon
Selected international presentations
- 2017: ASM Microbe (New Orleans, USA)
- 2023: ILADS (Boston, USA)
Additional information
Editorial roles
- Associate Editor, Frontiers in Cellular and Infection Microbiology, Antibiotic Resistance and New Antimicrobial Drugs section
- Editorial Board Member, iMetaMed
- Editorial Board Member, Heliyon
Guest editorships
- 2026: Frontiers in Cellular and Infection Microbiology, Integrative Physics-Informed AI for Multi-Scale Modeling of Host-Pathogen and Microbiome Interactions
- 2025: Frontiers in Cellular and Infection Microbiology, Advances in Combating Antimicrobial Resistance: Focus on Diagnosis, Therapy, and Prevention
- 2023: Frontiers in Microbiology, Single-Cell Tools to Combat Antimicrobial Resistance
- 2023: Cancers, Single-Cell Toolkits in Cancer Research
Peer review and panels
- 2025: Leverhulme Trust Early Career Fellowship internal selection panel, University of Glasgow
- 2025: Fellowship reviewer, Daphne Jackson Trust
- 2025: BioMedEng conference review panel
- 2025: ACS Peer Review Recognition
- 2024: Grant reviewer, UKRI EPSRC Access to High Performance Computing
- Regular reviewer for Nature Communications, Nature Microbiology, Science Advances, Analytical Chemistry, Talanta and Microbial Biotechnology
Selected invited talks
- 2026: Single-Cell Technology and AI for Precision Medicine, Wuhan Third Hospital, China
- 2026: PRIME workshop (Patients, Researchers and Industry for ME)
- 2024: International Young Scholars Conference on TCM plus Interdisciplinary, Zhejiang Chinese Medical University, China
- 2023: Keynote, International Lyme and Associated Diseases Society (ILADS) Conference, Boston, USA
- 2023: ME/CFS Research Roadmap, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
- 2022: Rheumatology and Immunology Forum, Peking University People's Hospital, Beijing, China
- 2021: Session chair, Single Cell Technology meets Microbiomics, UK
- 2017: ASM Microbe, New Orleans, USA
Patents
- Image-guided cell sorting and uses. US Provisional Application 63/542,652.
- Rapid identification instrument and identification method for pathogenic microorganisms. CN111220589A.
