Dr Gibin Powathil

Dr Gibin Powathil

Associate Professor, Swansea University


About mePublicationsPostgraduate StudentsResearchActivities

I am currently an Associate Professor in Mathematics at the Department of Mathematics, Swansea University, United Kingdom. My primary research interests are in Mathematical Biology and Mathematical Oncology. In particular, I am interested in multiscale mathematical modelling of cancer and associated therapies, which will eventually help towards Model Assisted Personalised Medicine. These mathematical and computational models can be very helpful in gaining valuable insights into the mechanisms and consequences of various complex intracellular and intercellular changes during and after therapy.

I received my PhD in Applied Mathematics from the University of Waterloo, Canada and my thesis was on mathematical modelling of brain tumours. I have a MS in Computational Mathematics from National University of Singapore and MSc in Mathematics from Indian Institute of Technology, Madras. Prior to this post I was working with Professor Mark Chaplain, Division of Mathematics, University of Dundee, Scotland as a postdoctoral research assistant.

  1.  Role of hypoxia-activated prodrugs in combination with radiation therapy: An in silico approachMathematical Biosciences and Engineering
  2.  Hybrid Data-Based Modelling in Oncology: Successes, Challenges and Hopes. Mathematical Modelling of Natural Phenomena
  3.  Blackboard to Bedside: A Mathematical Modeling Bottom-Up Approach Towards Personalized Cancer Treatments. JCO Clinical Cancer Informatics(3), 1-11. doi:10.1200/CCI.18.00068
  4. Mothersill, Carmel., Abend, Michael., Bréchignac, Francois., Copplestone, David., Geras’kin,Stanislav., Goodman, Jessica., Horemans, Nele., Jeggo, Penny., McBride, William., Mousseau,Timothy A.., O’Hare, Anthony., Papineni, Rao V.L.., Powathil, Gibin., Schofield, Paul N..,  Seymour,Colin.,  Sutcliffe, Jill. & Austin, Brian. (2019). The tubercular badger and the uncertain curve:- The need for a multiple stressor approach in environmental radiation protectionEnvironmental Research 168, 130-140. doi:10.1016/j.envres.2018.09.031
  5. Hamis, Sara., Nithiarasu, Perumal. & Powathil, Gibin G.. (2018). What does not kill a tumour may make it stronger: In silico insights into chemotherapeutic drug resistance. Journal of Theoretical Biology 454, 253-267. doi:10.1016/j.jtbi.2018.06.014
  6. Kim, Yangjin., Kang, Hyunji., Powathil, Gibin., Kim, Hyeongi., Trucu, Dumitru., Lee, Wanho., Lawler,Sean. & Chaplain, Mark. (2018). Role of extracellular matrix and microenvironment in regulation of tumor growth and LAR-mediated invasion in glioblastoma. PLOS ONE 13(10), e0204865.  doi:10.1371/journal.pone.0204865
  7. Bowness, Ruth., Chaplain, Mark A.J.., Powathil, Gibin G.. & Gillespie, Stephen H.. (2018). Modelling the effects of bacterial cell state and spatial location on tuberculosis treatment: Insights from a hybrid multiscale cellular automaton model. Journal of Theoretical Biology 446, 87-100. doi:10.1016/j.jtbi.2018.03.006
  8. Mothersill, Carmel., Abend, Michael., Bréchignac, François., Iliakis, George., Impens, Nathalie.,Kadhim,Munira., Møller, AndersPape.,  Oughton, Deborah.,  Powathil, Gibin., Saenen, Eline.,Seymour, Colin., Sutcliffe, Jill., Tang, Fen-Ru. & Schofield, Paul N.. (2018). When a duck is not a duck; a new interdisciplinary synthesis for environmental radiation protection. Environmental Research 162, 318-324.  doi:10.1016/j.envres.2018.01.022
  9. Brüningk, S.., Powathil, G.., Ziegenhein, P.., Ijaz, J.., Rivens, I.., Nill, S.., Chaplain, M.., Oelfke, U.. & ter Haar, G.. (2018). Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments. Journal of The Royal Society Interface 15(138), 20170681. doi:10.1098/rsif.2017.0681
  10. Borasi, Giovanni., Nahum, Alan., Paulides, MargarethusM., Powathil, Gibin., Russo, Giorgio.,Fariselli, Laura., Lamia, Debora., Cirincione, Roberta., Forte, Giusi Irma., Borrazzo, Cristian.,Caccia, Barbara., di Castro, Elisabetta., Pozzi, Silvia. & Gilardi, Maria Carla. (2016). Fast and high temperature hyperthermia coupled with radiotherapy as a possible new treatment for glioblastoma. Journal of Therapeutic Ultrasound 4(1). doi:10.1186/s40349-016-0078-3
  11. Powathil, Gibin G.., Munro, Alastair J.., Chaplain, Mark A.J.. & Swat, Maciej. (2016). Bystander effects and their implications for clinical radiation therapy: Insights from multiscale in silico experiments. Journal of Theoretical Biology 401, 1-14. doi:10.1016/j.jtbi.2016.04.010
  12. Kim, Yangjin., Powathil, Gibin., Kang, Hyunji., Trucu, Dumitru., Kim, Hyeongi., Lawler, Sean. & Chaplain, Mark. (2015). Strategies of Eradicating Glioma Cells: A Multi-Scale Mathematical Model with MiR-451-AMPK-mTOR Control. PLOS ONE 10(1), e0114370. doi:10.1371/journal.pone.0114370
  13. Chaplain, M. & Powathil, G. (2015). Multiscale modelling of cancer progression and treatment control: The role of intracellular heterogeneities in chemotherapy treatment. Biophysical Reviews and Letters. doi:10.1142/S1793048015500058
  14. Powathil, G., Chaplain, M. & Swat, M. (2014). Investigating the development of chemotherapeutic drug resistance in cancer: multiscale computational study. (preprint). arXiv.org. http://arxiv.org/abs/1407.0865
  15. Powathil, G. & Chaplain, M. (2014) A Hybrid Multiscale Approach in Cancer Modelling and Treatment Prediction. In A. D’onofrio and A. Gandolfi (Ed.), Mathematical Oncology 2013. (pp. 237-263). Birkhauser. doi: 10.1007/978-1-4939-0458-7_8
  16. Powathil, G., Swat, M. & Chaplain, M. (2014). Systems oncology: Towards patient-specific treatment regimes informed by multiscale mathematical modelling. Seminars in Cancer Biology. doi:10.1016/j.semcancer.2014.02.003
  17. Powathil, G., Adamson, D. & Chaplain, M. (2013). Towards Predicting the Response of a Solid Tumour to Chemotherapy and Radiotherapy Treatments: Clinical Insights from a Computational Model. PLoS Computational Biology 9(7), e100312. doi:10.1371/journal.pcbi.1003120
  18. Powathil, G., Thompson, A. & Chaplain, M. (2012). The role of cellular heterogeneity on the therapeutic response of breast cancer: Clinical insights from a hybrid multiscale computational model. Cancer Research 72(24 Supplement), P5-05-02-P5-05-02.  doi:10.1158/0008-5472.SABCS12-P5-05-02
  19. Powathil, G., Gordon, K., Hill, L. & Chaplain, M. (2012). Modelling the effects of cell-cycle heterogeneity on the response of a solid tumour to chemotherapy: Biological insights from a hybrid multiscale cellular automaton model. Journal of Theoretical Biology 308, 1-19. doi:10.1016/j.jtbi.2012.05.015
  20. Powathil, G., Kohandel, M., Milosevic, M. & Sivaloganathan, S. (2012). Modeling the Spatial Distribution of Chronic Tumor Hypoxia: Implications for Experimental and Clinical Studies. Computational and Mathematical Methods in Medicine 2012, 1-11. doi:10.1155/2012/410602
  21. Powathil, G., Kohandel, M., Sivaloganathan, S., Oza, A. & Milosevic, M. (2007). Mathematical modeling of brain tumors: effects of radiotherapy and chemotherapy. Physics in Medicine and Biology 52(11), 3291-3306. doi:10.1088/0031-9155/52/11/023 

Other Research Outputs

Sara Hamis

  • Mathematical Oncology
  • Multiscale Cancer Modelling
  • Modelling Anticancer therapies
  • Computational Mathematics

Carla White

  • Mathematical Pharmacology
  • Pharmacokinetics and Pharmacodynamics
  • Computational Mathematics


  • ICRR- Workshop “Radiobiology Meets Radioecology: Evidence for Transgenerational and “Memory” Effects After low Doses of Ionising Radiation”, Manchester, 25-29 August 2019.
  • Mathematical Oncology mini-symposium SMB Annual Conference, Montreal, Canada, 22-26 July 2019
  • DCG seminar series, Division of Cancer and Genetics, Cardiff University, 7th May 2019.
  • Seminar Talk, Department of Mathematics, Cardiff University, 29th January 2019.

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