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
Fingerprint
Dive into the research topics where Annalisa Occhipinti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
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
-
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
-
KTP - Teesside University and Nicander: Intelligent Digital Twin for Transport Infrastructure Management
Rahimian, F. (PI), Occhipinti, A. (CoI) & Fayaz, J. (CoI)
1/09/22 → 28/02/25
Project: Research
-
Participatory Research Funding - In collaboration with Gateshead Hospital NHS Trust
Occhipinti, A. (PI)
1/04/24 → 31/07/24
Project: Research
-
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
-
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 -
Meta databases of steel frame buildings for surrogate modelling and machine learning-based feature importance analysis
Samadian, D., Muhit, I. B., Occhipinti, A. & Dawood, N., 1 Mar 2024, In: Resilient Cities and Structures. 3, 1, p. 20-43Research output: Contribution to journal › Article › peer-review
Open AccessFile73 Downloads (Pure) -
Surrogate models for seismic and pushover response prediction of steel special moment resisting frames
Samadian, D., Muhit, I., Occhipinti, A. & Dawood, N., 1 Sept 2024, In: Engineering Structures. 314, 118307.Research output: Contribution to journal › Article › peer-review
Open AccessFile21 Downloads (Pure) -
Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
Occhipinti, A., Verma, S., Doan, L. M. T. & Angione, C., 11 Dec 2023, In: Trends in Cell Biology.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
-
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
-
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
-
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.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
-
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
-
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
-
How Personalized Medicine Is Transforming Healthcare
5/04/22
1 item of Media coverage
Press/Media: Press / Media
-
Women in Data Podcast - "Data Science & Cancer Research"
13/10/21
1 Media contribution
Press/Media: Press / Media
-
Machine learning and big data for cancer research - University of Cambridge
4/12/23
1 Media contribution
Press/Media: Press / Media
-
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
-
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