Dr Nicos Angelopoulos

School of Computer Science and Electronic Engineering (CSEE)
Dr Nicos Angelopoulos
  • Email

  • Telephone

    +44 (0) 1206 872898

  • Location

    5A.525, Colchester Campus

  • Academic support hours

    Mondays 13:00-14:00 & Thursday 13:00-14:00, or by appointment



I work on explainable, model based AI with application in bio-medicine and emphasis on backing ideas with open source code. My research interests lie in three broad categories: probabilistic logic programming specially for Bayesian machine learning logic programming for biological big data analytics Bayesian networks for the elucidation of genomic landscapes in cancer


  • BSc in Computer Science and Statistics University of Keele, (1992)

  • MSc in Advanced Computer Science (AI) Imperial College London, (1993)

  • PhD in Computer Science City, University London, (2001)

Research and professional activities

Research interests

probabilistic logic programming specially for Bayesian Machine Learning

Open to supervise

logic programming for biological big data analytics

Open to supervise

Bayesian networks for the elucidattion of genomic landscapes in cancer

Open to supervise

Conferences and presentations

Logic Programming for Big Data in Computational Biology

Invited presentation, Keynote presentation, 10th South of England Regional Programming Language Seminar (S-REPLS 10), London, United Kingdom, 18/9/2018

Bayesian inference over model structure

Invited presentation, Keynote presentation, Probabilistic Logic Programming (PLP 2015), ICLP, Cork, Ireland, 31/8/2015

Teaching and supervision

Current teaching responsibilities

  • Databases and Information Retrieval (CE205)


Journal articles (19)

Draaisma, K., Chatzipli, A., Taphoorn, M., Kerkhof, M., Weyerbrock, A., Sanson, M., Hoeben, A., Lukacova, S., Lombardi, G., Hanse, M., Fleischeuer, R., Leenstra, S., Watts, C., McAbee, J., Angelopoulos, N., Gorlia, T., Golfinopoulos, V., Kros, JM., Verhaak, RGW., van den Bent, MJ., McDermott, U., Robe, PA. and French, PJ., The molecular evolution of glioblastomas treated with standard of care impacts survival and design of precision medicine trials. Journal of Clinical Oncology

Angelopoulos, N. and Wielemaker, J., Advances in Big Data Bio Analytics. Electronic Proceedings in Theoretical Computer Science. 306, 309-322

Maura, F., Bolli, N., Angelopoulos, N., Dawson, KJ., Leongamornlert, D., Martincorena, I., Mitchell, TJ., Fullam, A., Gonzalez, S., Szalat, R., Abascal, F., Rodriguez-Martin, B., Samur, MK., Glodzik, D., Roncador, M., Fulciniti, M., Tai, YT., Minvielle, S., Magrangeas, F., Moreau, P., Corradini, P., Anderson, KC., Tubio, JMC., Wedge, DC., Gerstung, M., Avet-Loiseau, H., Munshi, N. and Campbell, PJ., (2019). Genomic landscape and chronological reconstruction of driver events in multiple myeloma. Nature Communications. 10 (1), 3835-

Mitchell, TJ., Turajlic, S., Rowan, A., Nicol, D., Farmery, JHR., Brien, TO., Martincorena, I., Tarpey, P., Angelopoulos, T., Yates, LR., Butler, AP., Raine, K., Stewart, GD., Challacombe, B., Fernando, A., Lopez, JI., Hazell, S., Chandra, A., Chowdhury, S., Rudman, S., Soultati, A., Stamp, G., Fotiadis, N., Pickering, L., Au, L., Spain, L., Lynch, J., Stares, M., Teague, J., Maura, F., Wedge, DC., Horswell, S., Chambers, T., Litchfield, K., Xu, H., Stewart, A., Elaidi, R., Oudard, S., McGranahan, N., Csabai, I., Gore, M., Futreal, PA., Larkin, J., Lynch, AG., Szallasi, Z., Swanton, C. and Campbell, PJ., (2018). Timing the landmark events in the evolution of clear cell renal cell cancer. Cell. 173 (3), 611-623

Grinfeld, J., Nangalia, J., Baxter, J., Wedge, DC., Angelopoulos, N., Cantrill, R., Godfrey, AL., Papaemmanuil, E., Gundem, G., MacLean, C., Cook, J., Mudie, L., Meara, SO., Teague, JW., Butler, AP., Massie, CE., Williams, N., Nice, FL., Andersen, CL., Hasselbalch, HC., Guglielmelli, P., McMullin, MF., Vannucchi, AM., Harrison, CN., Gerstung, M., Green, AR. and Campbell, PJ., (2018). Disease heterogeneity and personalized prognosis in myeloproliferative neoplasms. The New England Journal of Medicine. 379 (15), 1416-1430

Angelopoulos, N. and Cussens, J., (2017). Distributional Logic Programming for Bayesian Knowledge Representation. International Journal of Approximate Reasoning. 80, 52-66

Maura, F., Petljak, M., Lionetti, M., Cifola, I., Liang, W., Pinatel, E., Alexandrov, L., Fullam, A., Martincorena, I., Dawson, K., Angelopoulos, T., Samur, M., Szalat, R., Zamora, J., Tarpey, P., Davies, H., Corradini, P., Anderson, K., Minvielle, S., Neri, A., Avet-Loiseau, H., Keats, J., Campbell, P., Munshi, N. and Bolli, N., (2017). Biological and prognostic impact of APOBEC-induced mutations in the spectrum of plasma cell dyscrasias and multiple myeloma cell lines. Leukemia. 32 (4), 1043-1047

Angelopoulos, N., Stebbing, J., Xu, Y., Giamas, G. and Zhang, H., (2016). Proteome-wide dataset supporting functional study of tyrosine kinases in breast cancer. Data in Brief. 7, 740-746

Nunes, J., Zhang, H., Angelopoulos, N., Chetri, J., Osipo, C., Stebbing, J. and Giamas, G., (2016). ATG9A loss confers resistance to trastuzumab via c-Cbl mediated Her2 degradation. Oncotarget. 7 (19), 27599-27612

Angelopoulos, N., Abdallah, S. and Giamas, G., (2016). Advances in integrative statistics for logic programming. International Journal of Approximate Reasoning. 78, 103-115

Spanjaard, E., Smal, I., Angelopoulos, N., Verlaan, I., Matov, A., Meijering, E., Wessels, L., Bos, H. and Rooij, JD., (2015). Quantitative imaging of focal adhesion dynamics and their regulation by HGF and Rap1 signaling. Experimental Cell Research. 330 (2), 382-397

MacIntyre, D., Chandiramani, M., Lee, YS., Kindinger, L., Smith, A., Angelopoulos, N., Lehne, BC., Arulkumaran, S., Brown, R., Teoh, TG., Holmes, E., Nicholson, JK., Marchesi, J. and Bennett, PR., (2015). The vaginal microbiome during pregnancy and the postpartum period in a European population. Scientific Reports. 5 (1), Article number: 8988-Article number: 8988

Stebbing, J., Zhang, H., Xu, Y., Arnhild, G., Paul, A., Angelopoulos, N. and Giamas, G., (2015). Reprogramming of the tyrosine kinase-regulated proteome in breast cancer by combined use of RNAi and SILAC quantitative proteomics.. Molecular & Cellular Proteomics. 14 (9), 2479-92

Zhang, H., Angelopoulos, N., Stebbing, J. and Giamas, G., (2015). Proteomic profile of KSR1-regulated signaling in response to genotoxic agents in breast cancer. Breast Cancer Research and Treatment. 151 (3), 555-568

Xu, Y., Zhang, H., Nguyen, VTTM., Angelopoulos, N., Nunes, J., Reid, A., Buluwela, L., Magnani, L., Stebbing, J. and Giamas, G., (2015). LMTK3 Represses Tumour Suppressor-Like Genes through Chromatin Remodeling in Breast Cancer. Cell Reports. 12 (5), 837-849

Angelopoulos, N., (2015). Probabilistic Logic Programming (PLP’14). International Journal of Approximate Reasoning. 67, 59-59

Husi, H., McAllister, F., Angelopoulos, N., Butler, VJ., Bailey, KR., Malone, K., MacKay, L., Taylor, P., Page, AP., Turner, NJ., Barran, PE. and Walkinshaw, M., (2010). Selective Chemical Intervention in the Proteome ofCaenorhabditis elegans. Journal of Proteome Research. 9 (11), 6060-6070

Angelopoulos, N., Hadjiprocopis, A. and Walkinshaw, MD., (2009). Bayesian Model Averaging for Ligand Discovery. Journal of Chemical Information and Modeling. 49 (6), 1547-1557

Kemp, GJL., Angelopoulos, N. and Gray, PMD., (2002). Architecture of a mediator for a bioinformatics database federation. IEEE Transactions on Information Technology in Biomedicine. 6 (2), 116-122

Conferences (4)

Angelopoulos, N. and Wielemaker, J., (2017). Accessing biological data as Prolog facts

Angelopoulos, N. and Giamas, G., (2015). A logical approach to working with biological databases

Angelopoulos, N., Costa, VS., Azevedo, JA., Wielemaker, J., Camacho, R. and Wessels, L., (2013). Integrative functional statistics in logic programming

Canisius, S., Angelopoulos, N. and Wessels, L., (2013). ProSQLite: Prolog file based databases via an SQLite interface

+44 (0) 1206 872898


5A.525, Colchester Campus

Academic support hours:

Mondays 13:00-14:00 & Thursday 13:00-14:00, or by appointment

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