Yr Athro Gibin Powathil

Athro, Mathematics

+44 (0) 1792 606255

g.g.powathil@abertawe.ac.uk

323
Trydydd Llawr
Y Ffowndri Gyfrifiadol
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

https://orcid.org/0000-0002-8372-7349

ResearchGate

Google Scholar

ResearcherID

Scopus

Trosolwg

Mathemategydd cymhwysol yw Dr Gibin Powathil, sy'n canolbwyntio ei ymchwil ar ddulliau amlddisgyblaethol o ddefnyddio mathemateg i ddeall cymhlethdod sylfaenol amrywiol broblemau biolegol a biofeddygol mewn meddygaeth ac yn arbennig, canser.

Ar hyn o bryd, mae Gibin yn gweithio ar ddatblygu modelau aml-raddfa o dwf canser a phrotocolau triniaeth canser i astudio strategaethau triniaeth optimwm amrywiol; yn y pen draw i ddyfeisio cyfundrefnau trin aml-ddull mawr eu hangen sy'n benodol i gleifion. Gall y modelau mathemategol a chyfrifiannol hyn fod yn ddefnyddiol iawn i gael dealltwriaeth werthfawr o fecanweithiau a chanlyniadau newidiadau mewngellol a rhyng-gellol cymhleth amrywiol yn ystod ac ar ôl therapi.

Cafodd Gibin ei PhD mewn Mathemateg Gymhwysol ym Mhrifysgol Waterloo, Canada am ei ymchwil ar fodelu tiwmor yr ymennydd yn fathemategol. Mae hefyd wedi derbyn MS mewn Mathemateg Gyfrifiannol o Brifysgol Genedlaethol Singapore ac MSc mewn Mathemateg o Sefydliad Technoleg India, Madras, India.

Meysydd Arbenigedd

Bioleg Fathemategol
Oncoleg Fathemategol
Modelu Canser Aml-raddfa
Modelu therapïau gwrth-ganser
Cymwysiadau Technegau Delweddu mewn Modelu Canser
Mathemateg Gyfrifiannol

Uchafbwyntiau Gyrfa

Diddordebau Addysgu

Mae diddordebau addysgu Gibin mewn pynciau Mathemateg Gymhwysol yn bennaf. Mae'n addysgu cyrsiau'n rheolaidd ar fathemateg rifiadol, gyfrifiannol a biofathemateg.

Ymchwil Cydweithrediadau

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Pugh, K., Davies, M., & Powathil, G. (2023). A Mathematical Model to Investigate the Effects of Ceralasertib and Olaparib in Targeting the Cellular DNA Damage Response Pathway. Journal of Pharmacology and Experimental Therapeutics, 387(1), 55-65.
https://doi.org/10.1124/jpet.122.001558, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63760
http://dx.doi.org/10.1124/jpet.122.001558
Mohammadrezaei, D., Moghimi, N., Vandvajdi, S., Powathil, G., Hamis, S., & Kohandel, M. (2023). Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments. Scientific Reports, 13(1)
https://doi.org/10.1038/s41598-023-28286-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62393
SPINICCI, K., Jacquet, P., Powathil, G., & Stéphanou, A. (2022). Modeling the role of HIF in the regulation of metabolic key genes LDH and PDH: Emergence of Warburg phenotype. Computational and Systems Oncology, 2(3)
https://doi.org/10.1002/cso2.1040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60373
Brüningk, S. & Powathil, G. (2022). Modelling Direct and Indirect Effects of Radiation: Experimental, Clinical and Environmental Implications. In NATO Science for Peace and Security Series A: Chemistry and Biology (pp. 69-87). Springer Netherlands.
https://doi.org/10.1007/978-94-024-2101-9_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59774
HAMIS, S., Yates, J., Chaplain, M., & Powathil, G. (2021). Targeting Cellular DNA Damage Responses in Cancer: An In Vitro-Calibrated Agent-Based Model Simulating Monolayer and Spheroid Treatment Responses to ATR-Inhibiting Drugs. Bulletin of Mathematical Biology, 83(10)
https://doi.org/10.1007/s11538-021-00935-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57780
Liu, R., Higley, K., Swat, M., Chaplain, M., Powathil, G., & Glazier, J. (2021). Development of a coupled simulation toolkit for computational radiation biology based on Geant4 and CompuCell3D. Physics in Medicine & Biology, 66(4), 045026
https://doi.org/10.1088/1361-6560/abd4f9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55919
Hamis, S., Kohandel, M., Dubois, L., Yaromina, A., Lambin, P., & Powathil, G. (2020). Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape. PLOS Computational Biology, 16(8), e1008041
https://doi.org/10.1371/journal.pcbi.1008041, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54884
Hamis, S. & Powathil, G. (2020). Can we Crack Cancer?. The Art of Theoretical Biology (pp. 50-51). Springer International Publishing
https://doi.org/10.1007/978-3-030-33471-0_25, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54698
Mothersill, C., Oughton, D., Schofield, P., Abend, M., Adam-Guillermin, C., Ariyoshi, K., Beresford, N., Bonisoli-Alquati, A., Cohen, J., Dubrova, Y., Geras’kin, S., Hevrøy, T., Higley, K., Horemans, N., Jha, A., Kapustka, L., Kiang, J., Madas, B., Powathil, G...., & Wood, M. (2020). From tangled banks to toxic bunnies; a reflection on the issues involved in developing an ecosystem approach for environmental radiation protection. International Journal of Radiation Biology, 1-16.
https://doi.org/10.1080/09553002.2020.1793022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54697
Meaney, C., G Powathil, G., Yaromina, A., J Dubois, L., Lambin, P., Kohande, M., & Powathil, G. (2019). Role of hypoxia-activated prodrugs in combination with radiation therapy: An in silico approach. Mathematical Biosciences and Engineering, 16(6), 6257-6273.
https://doi.org/10.3934/mbe.2019312, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50957

Holl Ymchwil

Erthyglau Cylchgronau

Pugh, K., Davies, M., & Powathil, G. (2023). A Mathematical Model to Investigate the Effects of Ceralasertib and Olaparib in Targeting the Cellular DNA Damage Response Pathway. Journal of Pharmacology and Experimental Therapeutics, 387(1), 55-65.
https://doi.org/10.1124/jpet.122.001558, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63760
http://dx.doi.org/10.1124/jpet.122.001558
Mohammadrezaei, D., Moghimi, N., Vandvajdi, S., Powathil, G., Hamis, S., & Kohandel, M. (2023). Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments. Scientific Reports, 13(1)
https://doi.org/10.1038/s41598-023-28286-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62393
SPINICCI, K., Jacquet, P., Powathil, G., & Stéphanou, A. (2022). Modeling the role of HIF in the regulation of metabolic key genes LDH and PDH: Emergence of Warburg phenotype. Computational and Systems Oncology, 2(3)
https://doi.org/10.1002/cso2.1040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60373
HAMIS, S., Yates, J., Chaplain, M., & Powathil, G. (2021). Targeting Cellular DNA Damage Responses in Cancer: An In Vitro-Calibrated Agent-Based Model Simulating Monolayer and Spheroid Treatment Responses to ATR-Inhibiting Drugs. Bulletin of Mathematical Biology, 83(10)
https://doi.org/10.1007/s11538-021-00935-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57780
Liu, R., Higley, K., Swat, M., Chaplain, M., Powathil, G., & Glazier, J. (2021). Development of a coupled simulation toolkit for computational radiation biology based on Geant4 and CompuCell3D. Physics in Medicine & Biology, 66(4), 045026
https://doi.org/10.1088/1361-6560/abd4f9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55919
Hamis, S., Kohandel, M., Dubois, L., Yaromina, A., Lambin, P., & Powathil, G. (2020). Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape. PLOS Computational Biology, 16(8), e1008041
https://doi.org/10.1371/journal.pcbi.1008041, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54884
Mothersill, C., Oughton, D., Schofield, P., Abend, M., Adam-Guillermin, C., Ariyoshi, K., Beresford, N., Bonisoli-Alquati, A., Cohen, J., Dubrova, Y., Geras’kin, S., Hevrøy, T., Higley, K., Horemans, N., Jha, A., Kapustka, L., Kiang, J., Madas, B., Powathil, G...., & Wood, M. (2020). From tangled banks to toxic bunnies; a reflection on the issues involved in developing an ecosystem approach for environmental radiation protection. International Journal of Radiation Biology, 1-16.
https://doi.org/10.1080/09553002.2020.1793022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54697
Stéphanou, A., Ballet, P., & Powathil, G. (2020). Hybrid data-based modelling in oncology: successes, challenges and hopes. Mathematical Modelling of Natural Phenomena, 15, 21
https://doi.org/10.1051/mmnp/2019026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50956
Meaney, C., G Powathil, G., Yaromina, A., J Dubois, L., Lambin, P., Kohande, M., & Powathil, G. (2019). Role of hypoxia-activated prodrugs in combination with radiation therapy: An in silico approach. Mathematical Biosciences and Engineering, 16(6), 6257-6273.
https://doi.org/10.3934/mbe.2019312, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50957
Hamis, S., Powathil, G., & Chaplain, M. (2019). Blackboard to Bedside: A Mathematical Modeling Bottom-Up Approach Toward Personalized Cancer Treatments. JCO Clinical Cancer Informatics(3), 1-11.
https://doi.org/10.1200/CCI.18.00068, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48867
Mothersill, C., Abend, M., Bréchignac, F., Copplestone, D., Geras’kin, S., Goodman, J., Horemans, N., Jeggo, P., McBride, W., Mousseau, T., O’Hare, A., Papineni, R., Powathil, G., Schofield, P., Seymour, C., Sutcliffe, J., & Austin, B. (2019). The tubercular badger and the uncertain curve:- The need for a multiple stressor approach in environmental radiation protection. Environmental Research, 168, 130-140.
https://doi.org/10.1016/j.envres.2018.09.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44623
Hamis, S., Nithiarasu, P., & Powathil, 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.
https://doi.org/10.1016/j.jtbi.2018.06.014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40715
Kim, Y., Kang, H., Powathil, G., Kim, H., Trucu, D., Lee, W., Lawler, S., & Chaplain, M. (2018). Role of extracellular matrix and microenvironment in regulation of tumor growth and LAR-mediated invasion in glioblastoma. PLOS ONE, 13(10), e0204865
https://doi.org/10.1371/journal.pone.0204865, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44785
Bowness, R., Chaplain, M., Powathil, G., & Gillespie, S. (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.
https://doi.org/10.1016/j.jtbi.2018.03.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39000
Mothersill, C., Abend, M., Bréchignac, F., Iliakis, G., Impens, N., Kadhim, M., Møller, A., Oughton, D., Powathil, G., Saenen, E., Seymour, C., Sutcliffe, J., Tang, F., & Schofield, P. (2018). When a duck is not a duck; a new interdisciplinary synthesis for environmental radiation protection. Environmental Research, 162, 318-324.
https://doi.org/10.1016/j.envres.2018.01.022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38187
Brüningk, S., Powathil, G., Ziegenhein, P., Ijaz, J., Rivens, I., Nill, S., Chaplain, M., Oelfke, U., & Haar, G. (2018). Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments. Journal of The Royal Society Interface, 15(138), 20170681
https://doi.org/10.1098/rsif.2017.0681, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37332
Borasi, G., Nahum, A., Paulides, M., Powathil, G., Russo, G., Fariselli, L., Lamia, D., Cirincione, R., Forte, G., Borrazzo, C., Caccia, B., di Castro, E., Pozzi, S., & Gilardi, M. (2016). Fast and high temperature hyperthermia coupled with radiotherapy as a possible new treatment for glioblastoma. Journal of Therapeutic Ultrasound, 4(1)
https://doi.org/10.1186/s40349-016-0078-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31385
Powathil, G., Munro, A., Chaplain, M., & Swat, M. (2016). Bystander effects and their implications for clinical radiation therapy: Insights from multiscale in silico experiments. Journal of Theoretical Biology, 401, 1-14.
https://doi.org/10.1016/j.jtbi.2016.04.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18359
http://dx.doi.org/10.1016/j.jtbi.2016.04.010
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
https://doi.org/10.1142/S1793048015500058, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18361
Kim, Y., Powathil, G., Kang, H., Trucu, D., Kim, H., Lawler, S., & Chaplain, M. (2015). Strategies of Eradicating Glioma Cells: A Multi-Scale Mathematical Model with MiR-451-AMPK-mTOR Control. PLOS ONE, 10(1), e0114370
https://doi.org/10.1371/journal.pone.0114370, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18362
Powathil, G., Swat, M., & Chaplain, M. (2014). Systems oncology: Towards patient-specific treatment regimes informed by multiscale mathematical modelling. Seminars in Cancer Biology
https://doi.org/10.1016/j.semcancer.2014.02.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18357
Powathil, G., Chaplain, M., & Swat, M. (2014). Investigating the development of chemotherapeutic drug resistance in cancer: A multiscale computational study (preprint). arXiv.org
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18360
http://arxiv.org/abs/1407.0865
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), e1003120
https://doi.org/10.1371/journal.pcbi.1003120, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18356
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.
https://doi.org/10.1016/j.jtbi.2012.05.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18354
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.
https://doi.org/10.1155/2012/410602, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18353
Powathil, G., Kohandel, M., Sivaloganathan, S., Oza, A., Milosevic, M., & Powathil, G. (2007). Mathematical modeling of brain tumors: effects of radiotherapy and chemotherapy. Physics in Medicine and Biology, 52(11), 3291-3306.
https://doi.org/10.1088/0031-9155/52/11/023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18352

Penodau Llyfrau

Hamis, S., Stratiev, S., & Powathil, G. (2020). Uncertainty and Sensitivity Analyses Methods for Agent-Based Mathematical Models: An Introductory Review. In Bernard S Gerstman (Ed.), The Physics of Cancer (pp. 1-37). WORLD SCIENTIFIC
https://doi.org/10.1142/9789811223495_0001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52960
Hamis, S. & Powathil, G. (2020). Can we Crack Cancer?. The Art of Theoretical Biology (pp. 50-51). Springer International Publishing
https://doi.org/10.1007/978-3-030-33471-0_25, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54698
Powathil, G. & Chaplain, M. (2014). A Hybrid Multiscale Approach in Cancer Modelling and Treatment Prediction. Mathematical Oncology 2013 (pp. 237-263). Birkhauser
https://doi.org/10.1007/978-1-4939-0458-7_8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18358

Cyfraniadau Cynadleddau

Brüningk, S. & Powathil, G. (2022). Modelling Direct and Indirect Effects of Radiation: Experimental, Clinical and Environmental Implications. In NATO Science for Peace and Security Series A: Chemistry and Biology (pp. 69-87). Springer Netherlands.
https://doi.org/10.1007/978-94-024-2101-9_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59774
Powathil, G., Thompson, A., Chaplain, M., & Powathil, G. (2012). The role of cellular heterogeneity on the therapeutic response of breast cancer: Clinical insights from a hybrid multiscale computational model. In Cancer Research (pp. P5-05-02-P5-05-02).
https://doi.org/10.1158/0008-5472.SABCS12-P5-05-02, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18355

Cynnyrch Ymchwil Arall

Powathil, G. (2009). Modelling of brain tumours: Effects of microenvironment and associated therapeutic strategies
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18364
https://uwspace.uwaterloo.ca/handle/10012/4738
Powathil, G. (2004). A heat and mass transfer model for bread baking: an investigation using numerical schemes
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18365
http://scholarbank.nus.sg/handle/10635/14601

Goruchwyliaeth

Modelling the spatial ecology of cancer. (cyfredol)

PhD

Goruchwyliwr arall: Dr Noemi Picco
Mathematical Modelling of Cancer-Adipocyte Interactions in Ovarian Cancer (cyfredol)

PhD

Goruchwyliwr arall: Dr Noemi Picco

Goruchwyliwr arall: Prof Deya Gonzalez
Mathematical models of tumour growth: the beyond mean-field approach (cyfredol)

PhD

Goruchwyliwr arall: Dr Dmitri Finkelshtein
Computational and mathematical approaches to understand glioma cells metabolism : characterization from transcriptomic data and focus on HIF pathways (dyfarnwyd 2024)

PhD

Goruchwyliwr arall: Dr Noemi Picco
Modelling the Effects and Responses of DNA Damage Response (DDR) Inhibitor Drugs (cyfredol)

PhD

Goruchwyliwr arall: Dr Noemi Picco
An Exploration into the Usage of Augmented Reality Hardware Within Educational Institutions. (cyfredol)

PhD

Goruchwyliwr arall: Dr Tom Owen

Goruchwyliwr arall: Dr Sean Walton

Modiwlau a Addysgir

MA-243 Mathematical Modelling: Theory and Practice

This module focusses on developing mathematical models of real world problems. It considers how to create a model, how to simulate and analyse the model and how to use the model to answer questions about the world around us. It will consider a diverse selection of examples from a range of areas including biology, mechanics, medicine and physics. There will be weekly modelling workshops and PC labs in which students will actively create and analyse their own models. The module will culminate in a group project in which students will create, analyse and simulate a model of their own.
MA-371 Biomathematics

Mathematical biology has become a vast research area, spanning many sub-fields from mathematical ecology to systems biology and medicine. Building on introductory biomathematical and modelling modules, this module gives further insights into mathematical modelling applied to the biomedical problems, with no previous knowledge of biology assumed. The focus is on modelling biological phenomena (incorporating temporal or/and spatial effects) and applying mathematical and numerical techniques to solve the model problems, which largely comprise systems of ordinary and partial differential equations.
MA-M17 Modelling and Machine Learning

The module provides a basic introduction to mathematical modelling and computational methods. The module covers basic problems in computation including error analysis and methods for solving equations. It also highlights the use of Python in the numerical solution of problems, as well as symbolic computation. The module will also introduce some of the most widely used and state-of-the-art artificial intelligence and machine learning techniques and their applications to big data problems.
MA-M73 Biomathematics

Mathematical biology has become a vast research area, spanning many sub-fields from mathematical ecology to systems biology and medicine. Building on introductory biomathematical and modelling modules, this module gives further insights into mathematical modelling applied to the biomedical problems, with no previous knowledge of biology assumed. The focus is on modelling biological phenomena (incorporating temporal or/and spatial effects) and applying mathematical and numerical techniques to solve the model problems, which largely comprise systems of ordinary and partial differential equations.

Swyddi Cysylltiedig

Ymchwilydd Cysylltiedig, Ymchwil Data Iechyd y DU

2019 - Presennol

Rolau Eraill

Ysgrifennydd, Cymdeithas Bioleg Fathemategol

2020 - Presennol
Aelod o'r Bwrdd Golygyddol, Journal of Theoretical Biology

2019 - Presennol
Golygydd Cyswllt, Mathematical Bioscience and Engineering

2018 - Presennol
Swyddog Allgymorth, , Yr Adran Fathemateg, Prifysgol Abertawe

2020 - Presennol
Arweinydd Effaith , UoA, Yr Adran Fathemateg, Prifysgol Abertawe

2016 - Presennol

Hanes Gyrfa

Athro Cyswllt, Prifysgol Abertawe

2019 - Presennol
Uwch Ddarlithydd, Prifysgol Abertawe

2014 - 2019
Ymchwilydd Ôl-ddoethurol , Prifysgol Dundee

2009 - 2014

Grantiau a Phrosiectau Allweddol

HDRUK (NIWA1) 2018 - 2023

, with gyda Lyons RA, Lawler M, Ford DV, Berridge D, Kee F, Powathil GG, Broffis S, O'Reilly D, John A , £4,702,650
Multiscale Modelling of Angiogenesis and Lymphangiogenesis 2018 - 2021

, with Prosiect ar y cyd â Dr van Loon (Abertawe) a Dr Stephanou (Grenoble), £85K
Computational and Mathematical Approaches to Understand Cancer Cells Metabolism 2020 - 2023

, with Prosiect ar y cyd â Dr Stephanou (Grenoble), £85K

Trefnu Cynadlaeddau a Gweithdai

Pwyllgor Trefnu, Cynhadledd Flynyddol y Gymdeithas Bioleg Fathemategol 2021, SMB2021

Pwyllgor Gwyddonol, Cynhadledd Flynyddol y Gymdeithas Bioleg Fathemategol 2021, SMB2021

Pwyllgor y Rhaglen, 1af (2019) ac 2il (2020) Symposiwm Rhyngwladol ar Oncoleg Mathemategol a Chyfrifiannol
Gweithdy ar Feddygaeth Fathemategol a Ffarmacoleg - 2017, Canolfan Biomathemategaidd, Prifysgol Abertawe

Yr Athro Gibin Powathil

Rhif ffôn

Cyfeiriad ebost

Twitter Account

LinkedIn Account

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Uchafbwyntiau Gyrfa

Uchafbwyntiau Ymchwil

Holl Ymchwil

Modelling the spatial ecology of cancer. (cyfredol)

Mathematical Modelling of Cancer-Adipocyte Interactions in Ovarian Cancer (cyfredol)

Mathematical models of tumour growth: the beyond mean-field approach (cyfredol)

Computational and mathematical approaches to understand glioma cells metabolism : characterization from transcriptomic data and focus on HIF pathways (dyfarnwyd 2024)

Modelling the Effects and Responses of DNA Damage Response (DDR) Inhibitor Drugs (cyfredol)

An Exploration into the Usage of Augmented Reality Hardware Within Educational Institutions. (cyfredol)

MA-243 Mathematical Modelling: Theory and Practice

MA-371 Biomathematics

MA-M17 Modelling and Machine Learning

MA-M73 Biomathematics

Ymchwilydd Cysylltiedig, Ymchwil Data Iechyd y DU

Ysgrifennydd, Cymdeithas Bioleg Fathemategol

Aelod o'r Bwrdd Golygyddol, Journal of Theoretical Biology

Golygydd Cyswllt, Mathematical Bioscience and Engineering

Swyddog Allgymorth, , Yr Adran Fathemateg, Prifysgol Abertawe

Arweinydd Effaith , UoA, Yr Adran Fathemateg, Prifysgol Abertawe

Athro Cyswllt, Prifysgol Abertawe

Uwch Ddarlithydd, Prifysgol Abertawe

Ymchwilydd Ôl-ddoethurol , Prifysgol Dundee

HDRUK (NIWA1) 2018 - 2023

Multiscale Modelling of Angiogenesis and Lymphangiogenesis 2018 - 2021

Computational and Mathematical Approaches to Understand Cancer Cells Metabolism 2020 - 2023