Projects per year
Personal profile
Academic Biography
Dr Annalisa Occhipinti is Associate 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 machine learning and deep learning methodologies for cancer prediction. Her current research topics include deep learning applications for multi-modal data integration, mathematical and computational modelling of cancer, machine learning, survival analysis and statistical methods.
Dr Occhipinti has recently received several awards for her outstanding contributions in the field of machine learning, big data and cancer research, including an award from the University of Cambridge for her research contribution. She has also been the PI of several BBSRC and EPSRC research projects.
She has also experience in Big Data, Business Intelligence and machine learning applications for business. She is currently involved in several projects with industrial partners to apply machine learning techniques for gaining valuable operational insights from different data sources.
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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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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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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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 → 30/09/24
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 AccessFile1 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 AccessFile4 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 AccessFile3 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 -
Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients
Verma, S., Magazzù, G., Eftekhari, N., Lou, T., Gilhespy, A., Occhipinti, A. & Angione, C., 8 Jul 2024, In: Cell Reports Methods. 4, 7, 100817.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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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.c.4318997, https://figshare.com/collections/CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/4318997
Dataset
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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.c.4318997.v1, https://figshare.com/collections/CiliateGEM_an_open-project_and_a_tool_for_predictions_of_ciliate_metabolic_variations_and_experimental_condition_design/4318997/1
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
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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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
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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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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