Personal profile
Academic Biography
Le Minh Thao Doan is a PhD candidate and a part-time Lecturer in Computer Science at the School of Computing, Engineering and Digital Technologies, Teesside University.
Her research interest is AI applications in healthcare and oncology, especially applying machine learning and deep learning in cancer diagnosis and prognosis. Her research mainly focuses on Explainable Artificial Intelligence (XAI) and how AI and machine learning can assist in early cancer detection and improve patient survival outcomes.
She has also experience in big data, business intelligence and data analytics to give more insights and solve business problems. She used to work as a financial auditor and data analyst in multinational corporations such as EY and AB InBev. Later, she joined Teesside University as a data analytics developer to support SMEs in Tees Valley in their digitalisation journey.
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Collaborations and top research areas from the last five years
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From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities
Doan, L. M. T., Verma, S., Eftekhari, N., Angione, C. & Occhipinti, A., 18 Oct 2025, In: Computers in Biology and Medicine. 198, Pt B, 24 p., 111195.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
Occhipinti, A., Verma, S., Doan, L. M. T. & Angione, C., 11 Dec 2023, In: Trends in Cell Biology.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer
Doan, L. M. T., Angione, C. & Occhipinti, A., 11 May 2022, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology. Selvarajoo, K. (ed.). Springer, Vol. 2553. p. 325-393 69 p. (Methods in Molecular Biology).Research output: Chapter in Book/Report/Conference proceeding › Chapter
File665 Downloads (Pure) -
Digital payment fraud detection methods in digital ages and Industry 4.0
Chang, V., Doan, L. M. T., Di Stefano, A., Sun, Z. & Fortino, G., 1 May 2022, In: Computers and Electrical Engineering. 100, 107734.Research output: Contribution to journal › Article › peer-review
Open AccessFile131 Downloads (Pure) -
Digitalization in omnichannel healthcare supply chain businesses: The role of smart wearable devices
Chang, V., Doan, L. M. T., Xu, Q. A., Hall, K., Wang, Y. A. & Kamal, M. M., 19 Dec 2022, In: Journal of Business Research. 156, 113369.Research output: Contribution to journal › Article › peer-review
Open AccessFile701 Downloads (Pure)