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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KTP - Teesside University and Nicander: Intelligent Digital Twin for Transport Infrastructure Management
Rahimian, F., Occhipinti, A. & Fayaz, J.
1/09/22 → 28/02/25
Project: Research
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Combining pathway identification and breast cancer survival prediction via screening-network methods
Iuliano, A., Occhipinti, A., Angelini, C., De Feis, I. & Liò, P., 14 Jun 2018, In: Frontiers in Genetics. 9, 29963073.Research output: Contribution to journal › Article › peer-review
Open AccessFile135 Downloads (Pure) -
Modelling circulating tumour cells for personalised survival prediction in metastatic breast cancer
Ascolani, G., Occhipinti, A. & Liò, P., 2015, In: PLoS Computational Biology. 11, 5, p. e1004199Research output: Contribution to journal › Article › peer-review
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Cancer markers selection using network-based Cox regression: A methodological and computational practice
Iuliano, A., Occhipinti, A., Angelini, C., De Feis, I. & Lió, P., 17 Jun 2016, In: Frontiers in Physiology. 7, p. 208 1 p.Research output: Contribution to journal › Article › peer-review
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A pipeline and comparative study of 12 machine learning models for text classification
Occhipinti, A., Rogers, L. & Angione, C., 6 Apr 2022, (E-pub ahead of print) In: Expert Systems with Applications. 201, 117193.Research output: Contribution to journal › Article › peer-review
Open AccessFile70 Downloads (Pure) -
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling
Vijayakumar, S., Magazzu, G., Moon, P., Occhipinti, A. & Angione, C., 24 May 2022, Computational Systems Biology in Medicine and Biotechnology . Cortassa, S. & Aon, M. A. (eds.). Springer, Vol. 2399. p. 87-122Research output: Chapter in Book/Report/Conference proceeding › Chapter
File314 Downloads (Pure)
Datasets
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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 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 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, 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
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
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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, 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
Dataset
Press/Media
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Machine learning and big data for cancer research
4/12/23
1 Media contribution
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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How Personalized Medicine Is Transforming Healthcare
Annalisa Occhipinti & Claudio Angione
5/04/22
1 item of Media coverage
Press/Media: Press / Media
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Partnership to develop AI to help peatlands
Annalisa Occhipinti, Alessandro Di Stefano, Jawad Fayaz & Claudio Angione
27/10/23
1 item of Media coverage
Press/Media: Press / Media