Personal profile
Research interests
I have a broad range of research interests across the field of AI. My research interests lie in the applications of AI and bioinformatics in medical, biological science and healthcare robotics, especially neurological and mental health disorders, including:
- Applications: personalised treatment, early diagnose, risk assessment, disease progression monitoring, treatment response prediction, prognostic and diagnostic modelling, drug discovery, information retrieval, etc.
- Algorithms: generative AI, machine learning, statistical modelling, MCDA, etc.
- Data types: EHR, neuroimaging and cellular imaging, omics data, biomedical signals, data from smart/wearable sensors, longitudinal and cross-sectional data, etc.
Current PhD students:
Sammy Shorthouse
Hans Johnson
Ziwen Yu
Ting Zhou
Bolin Chen
Ji Dong
I am currently open to PhD applications.
External positions
Honorary research scientist, University of Oxford
Apr 2023 → …
Research Groups and Themes
- Intelligent Systems Laboratory
Keywords
- deep learning
- machine learning
- mental health
- personalised treatment
- risk prediction
- drug discovery
- image processing
- wearable sensors
- Engineering Biology
- digital health
- neurological disorders
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Collaborations and top research areas from the last five years
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A Decision-Support System to Personalize Antidepressant Treatment in Major Depressive Disorder: A Randomized Clinical Trial
Cipriani, A., Fernandes, K. B. P., Mulsant, B. H., Efthimiou, O., Williams, N., Mort, S., Elgarf, R., Liu, Q., Haque, N., Potts, J., Ede, R., Fox, R., Liboni, M., Cavicchioli, D. A. N., Simon, J., Smith, K. A., Zangani, C., Li, Z., Taylor, U. & Husain, M. I. & 11 others, , 4 Mar 2026, (E-pub ahead of print) In: JAMA. 13 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (Pure) -
Establishing a relationship between iron-based blood measures and structural brain changes using neural networks in UK Biobank
Sammet, J., Alhasani, K., Chung, E., Cheung, J., Liu, Q., Patel, R., Suri, S., Nevado-Holgado, A. & Winchester, L., 10 Mar 2026, (E-pub ahead of print) In: Medical Image Analysis. 111, 104034.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
An AG-RetinaNet for Embryonic Blastomeres Detection and Counting
Zhou, W., Talha, O., Han, X., Liu, Q., Xu, Y., Zhang, Z. & Yuan, N., 24 Jan 2025, In: International Journal of Imaging Systems and Technology. 35, 1, 11 p., e70034.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile4 Citations (Scopus)22 Downloads (Pure)
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Predicting PD-L1 Status from H&E Slides Using AI
Dudding, T. (Principal Investigator), Liu, Q. (Co-Investigator), Hargreaves, S. J. (Co-Investigator) & Pring, M. (Co-Investigator)
1/10/25 → 31/07/26
Project: Research
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AI-Organoid: A Smart Predictive Platform for Advanced Neurological Modelling
Armstrong, J. (Principal Investigator) & Liu, Q. (Co-Investigator)
1/10/25 → 31/07/26
Project: Research
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Multimodal AI for Early Detection and Risk Prediction of Dementia
Liu, Q. (Principal Investigator), Coulthard, E. J. (Co-Investigator), Blackman, J. (Co-Investigator), Isotalus, H. K. (Co-Investigator), Koychev, I. (Co-Investigator) & Brigden, A. L. C. (Principal Investigator)
1/09/26 → 31/08/30
Project: Research