Personal profile

Biography

I completed my degree in Medical Genetics at the University of Sheffield in 2010, before going on to complete an interdisciplinary masters in Biomedicine at the University of Sheffield. Thereafter, I completed my PhD at the University College London in computational modelling of nanoparticle transport across the blood-brain barrier. Thereafter, I enjoyed a successful post-doc (2016-2025) at the University of Stuttgart, Germany, working on computational modelling of apoptosis signalling and development of antibody-based CNS-targeted therapeutics. In 2025, I joined the University of Portsmouth as a Lecturer in Pharmacology.

Research Interests

The basic concept underlying my research work is to recapitulate biological and disease systems/processes in computational models. I apply these models to better understand how the biological systems work (what if scenarios) and predict how they will interact with specific therapeutics or combinations of therapeutics. This encompasses new expanding areas of pharmacology including model-informed drug development (MIDD), systems medicine and quantitative systems pharmacology (QSP). Specifically, I specialise in applying GPU-accelerated particle-based modelling to better capture spatial aspects of biological systems (1,2,3).

I have two key areas of specific biological interest, cancer and neurological diseases building on my experience in regulated cell death signalling (apoptosis) (1,4) and approaches to enable delivery of therapeutics across the blood-brain barrier into the central nervous system (CNS) (5,6).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Keywords

  • RM Therapeutics. Pharmacology
  • Systems Biology
  • Quantitative Systems Pharmacology (QSP)
  • Particle-based modelling
  • Spatial modelling
  • Agent-based Modelling
  • Quantitative Biology

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