Projects per year
Personal profile
Academic Biography
Dr Annalisa Occhipinti is a Lecturer in Data Analytics 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 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 by the University of Cambridge for her research contribution.
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, University of Cambridge
1 Sep 2013 → 30 Sep 2016
Award Date: 28 Oct 2016
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Projects
- 1 Active
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KTP - The Clinkard Group Limited - Company Funding @ 50%
Angione, C., Occhipinti, A. & Joneidy, S.
1/09/20 → 31/12/22
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 AccessFile73 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 Computational Model of Cancer Metabolism for Personalised Medicine
Occhipinti, A. & Angione, C., 6 Mar 2021, Building Bridges in Medical Science 2021. Cambridge Medical Journal, (Cambridge Medical Journal; vol. 28 Mar).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile45 Downloads (Pure) -
Discovering Essential Multiple Gene Effects through Large Scale Optimization: an Application to Human Cancer Metabolism
Occhipinti, A., Hamadi, Y., Kugler, H., Wintersteiger, C., Yordanov, B. & Angione, C., 2 Apr 2020, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile146 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 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. (Contributor), Liò, P. (Creator), Angione, C. (Contributor) & Pucciarelli, S. (Creator), figshare, 30 Nov 2018
DOI: 10.6084/m9.figshare.7405064.v1, 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/7405064/1
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. (Contributor), Liò, P. (Contributor), Angione, C. (Contributor) & Pucciarelli, S. (Creator), figshare, 30 Nov 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 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 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. (Contributor), Liò, P. (Creator), Angione, C. (Contributor) & Pucciarelli, S. (Creator), figshare, 30 Nov 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