Personal profile
Academic Biography
Annalisa is a Professor of AI 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
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EPSRC (NortHFutures) - Feasibility of Multimodal AI Integration of Imaging Data and Clinical Data to Predict Respiratory Outcomes in Preterm Infants
Occhipinti, A. (PI) & Angione, C. (CoI)
1/01/26 → 31/12/26
Project: Research
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Multimodal AI to predict patient-specific breast cancer treatment response
Occhipinti, A. (PI) & Angione, C. (CoI)
1/09/25 → 28/02/27
Project: Research
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A Comprehensive Network Against Brain Cancer
Li, X. (PI), Jancalek, R. (CoI), Kiskova-Simkova, T. (CoI), Pesic, M. (CoI), Hajdarpasic, A. (CoI), Golebiewska, A. (CoI), Bagci-Onder, T. (CoI), Angione, C. (CoI), Brander, S. (CoI), Toplu, A. (CoI), Booth, T. (CoI), Breznik, B. (CoI), Kaymaz, Y. (CoI), Frenkel-Morgenstern, M. (CoI), Athanasiou, A. (CoI), Mazo, C. (CoI) & Occhipinti, A. (CoI)
European Cooperation in Science and Technology (COST)
30/10/23 → 29/10/27
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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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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Bioprocess optimisation via joint machine learning and metabolic modelling
Zampieri, G., Sandner, V., Verma, S., Kraemer, J., Lennon, C., Occhipinti, A., McCreath, G. & Angione, C., 1 Jul 2026, In: Metabolic Engineering. 96, p. 113-128 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Bridging modalities with AI: a review of AI advances in multimodal biomedical imaging
Doan, L. M. T., Shahhosseini, K., Verma, S., Marefat, A., Locicero, G., Verma, S., Angione, C. & Occhipinti, A., 13 Feb 2026, In: Communications Engineering. 5, 17 p., 30.Research output: Contribution to journal › Review article › peer-review
Open AccessFile8 Downloads (Pure) -
COST action CA22103 Net4Brain: Pan-European network advancing translational research in brain cancer
Kiskova-Simkova, T., Simko, P., Pesic, M., Occhipinti, A., Breznik, B., Golebiewska, A., Athanasiou, A., Gazea, T., Hajdarpasic, A., Booth, T., Bagci-Onder, T., Kaymaz, Y., Angione, C., Ngameduru, U., Jancalek, R. & Li, X., 1 Jun 2026, In: Critical Reviews in Oncology/Hematology. 222, 10 p., 105260.Research output: Contribution to journal › Review article › peer-review
Open AccessFile29 Downloads (Pure) -
Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer
Eftekhari, N., Verma, S., Saha, A., Zampieri, G., Sawan, S., Occhipinti, A. & Angione, C., 22 Apr 2026, (E-pub ahead of print) In: Cell Systems. 17, 24 p., 101594.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Knowledge-Assisted Deep Learning for Digital Health: Framework, Case Studies, and Future Opportunities
Wang, J., Angione, C. & Occhipinti, A., 1 May 2026, In: Computer. 59, 5, p. 65-76 12 p.Research output: Contribution to journal › Article › peer-review
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 4: 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.7405082.v1, https://springernature.figshare.com/articles/Additional_file_4_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405082/1
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 6: 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.7405109.v1, https://springernature.figshare.com/articles/Additional_file_6_of_CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/7405109/1
Dataset
Press/Media
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AI for Women's Health "What Challenges Exist in Researching AI in Women’s Health?"
8/05/24
1 Media contribution
Press/Media: Press / Media
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AI to be used in fight against peatland degradation
Occhipinti, A., Di Stefano, A., Fayaz, J. & Angione, C.
3/11/23
1 item of Media coverage
Press/Media: 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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Partnership to develop AI to help peatlands
Occhipinti, A., Di Stefano, A., Fayaz, J. & Angione, C.
27/10/23
1 item of Media coverage
Press/Media: Press / Media
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Northallerton business works with Teesside University to tackle peatland degradation
Occhipinti, A., Di Stefano, A., Fayaz, J. & Angione, C.
27/10/23
1 item of Media coverage
Press/Media: Press / Media