ZBF MATH
PhD in Mathematics
Portrait of Zita Borbála Fülöp

Zita Borbála Fülöp

I am a final-year PhD student in Mathematics working at the intersection of mathematical modelling, medical imaging, and oncology. My mission is to improve brain cancer treatment by developing predictive diagnostic tools that support personalised treatment strategies.

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Research interests
PDEs, Continuum models, Glioblastoma, Electrochemotherapy, Asymptotic Homogenisation
Current affiliation
University of Glasgow
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About

I am a final-year PhD student in Mathematics at the University of Glasgow. My research uses mathematical modelling to improve brain cancer treatment, focusing on how tumours respond to conventional and emerging therapies.

My work combines continuum modelling, numerical simulations, and patient-specific medical data, and is carried out in close collaboration with clinicians and international research partners. I aim to bridge the gap between theoretical mathematics and real-world medical challenges, developing models that can inform treatment design and contribute to more effective cancer therapies.

I am passionate about knowledge exchange and public engagement, and I enjoy making complex mathematical ideas accessible and show how mathematics can contribute to meaningful advances in healthcare and improved patient outcomes.

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Research

How can mathematics help beat cancer?

My research combines mathematical modelling, computation, and clinical collaboration to better understand tumour behaviour and improve therapy design.

Glioblastoma behaviour and treatment modelling

I develop novel mathematical models of tumour dynamics and drug transport, predicting response to emerging therapies such as electrochemotherapy.

Advanced mathematical and computational techniques

PDE models and asymptotic homogenisation linking microscale tissue structure to macroscale transport behaviour.

Patient-specific and clinically informed modelling

MRI-informed models developed with clinicians to support personalised predictions.

MRI-informed mathematical modelling of tumour transport
Public engagement

Explaining maths without jargon

Science Slam presentation introducing my research on mathematical modelling for brain cancer treatment to a general audience.

Clinical collaborations
  • University Medical Center Utrecht, Netherlands
    Ongoing collaboration using ultra-high-field (7T) MRI data. Research projects also include radiotherapy mechanisms and cerebrovascular reactivity.
  • National Institute of Oncology, Hungary
    Ongoing collaboration involving shared clinical data to support mathematical modelling of tumour behaviour.
  • Semmelweis University, Hungary
    Applied statistical modelling techniques to investigate drug administration protocols and predictive factors influencing clinical outcomes in neonatal care.
Publications
  • Patient-Specific Multiscale Modelling of Glioblastoma: Targeted Modulation of Interstitial Fluid Flow Using Electric Field (2026)
    DOI link
  • Multiscale analysis of electrically stimulated vascularised tumours (2025)
    DOI link
  • Multiscale modelling of fluid transport in vascular tumours subjected to electrophoresis anticancer therapies (2024)
    DOI link
Achievements

Awards and recognition

  • STEM for Britain Silver Award in Mathematics
    House of Commons, UK Parliament (2026)
  • Best Presentation Award
    Computational Biology Conference (2025)
  • 1st Prize at Science Slam
    University of Glasgow (2025)
  • 2nd Prize for Best Early Career Researcher Presentation
    7th Soft Tissue Modelling Workshop, Milan (2025)
  • Mobility Scholarship
    UofG College of Science and Engineering £1,000 research grant to support research visit to Radboudumc and UMC Utrecht (2025)
  • 1st Prize for Best PhD Poster Presentation
    6th Soft Tissue Modelling Workshop, Glasgow (2023)
CV

Download my full academic CV, including publications, talks, teaching, and interdisciplinary collaborations.

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