Projects per year
Personal profile
Academic Biography
Annalisa is a Professor at Teesside University. She holds a PhD in Computer Science from the University of Cambridge, awarded in 2016.
She works at the intersection between Computer Science and Biology to develop AI methodologies for cancer applications. Her current research topics include deep learning applications for multi-modal data integration, mathematical and computational modelling of cancer, survival analysis and statistical methods.
Annalisa has recently received several awards for her contributions in the field of AI, big data and cancer research, including an award from the University of Cambridge for her research contribution.
Her research is also supported by multiple BBSRC and EPSRC grants, past and ongoing, led by Annalisa, on the application of AI to diverse challenges in the biological sciences.
She also has experience in Big Data, Business Intelligence and AI applications for business. She is currently involved in multiple Innovate UK projects with industrial partners to apply AI techniques for gaining valuable operational insights from different data sources.
External Roles and Professional Activities
- External Professional Expert at the National Institute for Health and Care Excellence (NICE)
- Co-lead of the "AI for Women's Health" Interest Group, The Alan Turing Institute
- BBSRC Pool of Experts Committee Member, reviewing Responsive Mode and sLoLa grants
- External Grant Reviewer for Cancer Research UK, SBRI Healthcare, and The Academy of Medical Sciences
- Lead of the Young Researchers Group as part of the Net4Brain European COST Action
- Co-Lead of WP2 on Metabolic Modelling Community and EDI representative as part of the Horizon Europe Project XTREAM. Press release link
- Working with the AIBIO-UK (BBSRC) Network as part of the "AI-Ready Data WG"
- Guest Editor of the Collection on AI for Multimodal Biomedical Imaging, Communications Engineering
- Working with NortHFutures (EPSRC) on developing digital skills and training for digital health innovations
Education/Academic qualification
PhD, PhD in Computer Science - Thesis Title "Computational Models of Cancer for Survival Prediction", University of Cambridge
1 Sept 2013 → 30 Sept 2016
Award Date: 28 Oct 2016
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multimodal AI to predict patient-specific breast cancer treatment response
Occhipinti, A. (PI) & Angione, C. (CoI)
1/10/24 → 28/02/26
Project: Research
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EPSRC - From single-cell transcriptomic to single-cell fluxomic: characterising metabolic dysregulations for breast cancer subtype classification
Occhipinti, A. (PI)
1/02/24 → 31/01/26
Project: Research
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EPSRC - CLIRPath-AI: Integrating infrared spectroscopy and digital pathology: an explainable AI multi-modal framework for breast cancer diagnosis
Occhipinti, A. (PI)
8/01/24 → 28/02/26
Project: Research
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KTP - CSX Carbon - Deep learning applications for peatland restoration
Occhipinti, A. (PI), Di Stefano, A. (CoI), Angione, C. (CoI) & Taylor, G. (CoI)
1/09/23 → 31/01/26
Project: Research
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Participatory Research Funding - In collaboration with Gateshead Hospital NHS Trust
Occhipinti, A. (PI)
1/04/24 → 31/07/24
Project: Research
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Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis
Coles, N. P., Elsheikh, S., Quesnel, A., Butler, L., Achadu, O., Islam, M., Kalesh, K., Occhipinti, A., Angione, C., Marles-Wright, J., Koss, D. J., Thomas, A. J., Outeiro, T. F., Filippou, P. S. & Khundakar, A. A., 3 Apr 2025, In: Brain Communications. 7, 2, p. fcaf133Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Downloads (Pure) -
Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach
Coles, N. P., Elsheikh, S., Quesnel, A., Butler, L., Jennings, C., Tarzi, C., Achadu, O. J., Islam, M., Kalesh, K., Occhipinti, A., Angione, C., Marles-Wright, J., Koss, D. J., Thomas, A. J., Outeiro, T. F., Filippou, P. S. & Khundakar, A. A., 28 Jan 2025, (E-pub ahead of print) In: ACS Chemical Neuroscience. 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile34 Downloads (Pure) -
Serial lung ultrasound in predicting the need for surfactant and respiratory course in preterm infants—multicentre observational study (SLURP)
Loganathan, P. K., Meau‑Petit, V., Bhojnagarwala, B., Nair, V., Holmes, J., Occhipinti, A. & Montasser, M., 23 May 2025, In: European Journal of Pediatrics. 184, 9 p., 356.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
Spatiotemporal diversity in molecular and functional abnormalities in the mdx dystrophic brain
Pomeroy, J., Borczyk, M., Kawalec, M., Hajto, J., Carlson, E., Svärd, S., Verma, S., Bareke, E., Boratyńska-Jasińska, A., Dymkowska, D., Mellado-Ibáñez, A., Laight, D., Zabłocki, K., Occhipinti, A., Majewska, L., Angione, C., Majewski, J., Yegutkin, G. G., Korostynski, M. & Zabłocka, B. & 1 others, , 20 Feb 2025, In: Molecular Medicine. 31, 1, 33 p., 108.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
Ablation of the dystrophin Dp71f alternative C-terminal variant increases sarcoma tumour cell aggressiveness
Alnassar, N., Hajto, J., Rumney, R. M. H., Verma, S., Borczyk, M., Saha, C., Kanczler, J., Butt, A. M., Occhipinti, A., Pomeroy, J., Angione, C., Korostynski, M. & Górecki, D. C., 9 Jun 2024, (E-pub ahead of print) In: Human Molecular Genetics. ddae094.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Additional file 2: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
Mancini, A. (Creator), Eyassu, F. (Contributor), Conway, M. (Creator), Occhipinti, A. (Contributor), Liò, P. (Creator), Angione, C. (Contributor) & Pucciarelli, S. (Creator), figshare, 30 Nov 2018
DOI: 10.6084/m9.figshare.7405046.v1, https://springernature.figshare.com/articles/Additional_file_2_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405046/1
Dataset
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Additional file 1: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
Mancini, A. (Creator), Eyassu, F. (Contributor), Conway, M. (Creator), Occhipinti, A. (Contributor), Liò, P. (Creator), Angione, C. (Contributor) & Pucciarelli, S. (Creator), figshare, 30 Nov 2018
DOI: 10.6084/m9.figshare.7405028.v1, https://springernature.figshare.com/articles/Additional_file_1_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405028/1
Dataset
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Additional file 5: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
Mancini, A. (Creator), Eyassu, F. (Contributor), Conway, M. (Creator), Occhipinti, A. (Creator), Liò, P. (Contributor), Angione, C. (Creator) & Pucciarelli, S. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7405097.v1, https://springernature.figshare.com/articles/Additional_file_5_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405097/1
Dataset
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Additional file 3: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
Mancini, A. (Creator), Eyassu, F. (Contributor), Conway, M. (Creator), Occhipinti, A. (Creator), Liò, P. (Contributor), Angione, C. (Creator) & Pucciarelli, S. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7405064, https://springernature.figshare.com/articles/Additional_file_3_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405064
Dataset
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Additional file 7: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
Mancini, A. (Creator), Eyassu, F. (Contributor), Conway, M. (Creator), Occhipinti, A. (Creator), Liò, P. (Contributor), Angione, C. (Creator) & Pucciarelli, S. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7405118.v1, https://springernature.figshare.com/articles/Additional_file_7_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405118/1
Dataset
Press/Media
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Women in Data Podcast - "Data Science & Cancer Research"
13/10/21
1 Media contribution
Press/Media: Press / Media
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How Personalized Medicine Is Transforming Healthcare
5/04/22
1 item of Media coverage
Press/Media: Press / Media
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Teesside University lecturer using digital expertise to research early breast cancer detection
5/06/21
1 Media contribution
Press/Media: Press / Media
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Partnership's AI project to monitor health of peatlands
Occhipinti, A., Di Stefano, A., Fayaz, J. & Angione, C.
4/11/23
1 item of Media coverage
Press/Media: Press / Media