Profile
Professor Gibin Powathil is an applied mathematician, focusing his research on interdisciplinary multi-scale approaches to utilise mathematics to understand the underlying complexity of various biological and biomedical problems in medicine and in particular, cancer.
Currently, Gibin is working on developing multiscale models of cancer growth and treatment protocols to study various optimum treatment strategies; eventually to devise much needed predictive patient specific multimodality treatment regimes. 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.
Gibin received his PhD in Applied Mathematics from the University of Waterloo, Canada for his research on mathematical modelling of brain tumours. He has also received a MS in Computational Mathematics from National University of Singapore and MSc in Mathematics from Indian Institute of Technology, Madras, India.
Area of Expertise
- Mathematical Biology
- Mathematical Oncology
- Multiscale Cancer Modelling
- Modelling Anticancer therapies
- Applications of Imaging Techniques in Cancer Modelling
- Computational Mathematics
Projects
-
Mathematical Modelling of Cancer – Adipocyte Interactions in Ovarian Cancer
Project Overview Ovarian cancer has the highest mortality rate of all gynaecological cancers, with 5-year survival rates of less than 50%. A primary reason for this is the location of the adipocyte-rich omentum, which has been demonstrated to play an important role in generating a pro-metastatic tumour microenvironment within the peritoneal cavity. This project aims…
Specialist Areas
Events
-
Zienkiewicz Institute Community Event for Grant Calls
Time: 15th October 2025 Location: Eng North 010 and 008 Speakers: Overview of the Conference: The next Zienkiewicz Institute community event will be held on Wednesday, 15th October 2025. It will focus on the following three grant calls: UKRI Artificial Intelligence for Environmental Science Phase One (Deadline 11 December 2025) UKRK Addressing Nuclear Fission Challenges for a…