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.

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).

I teach pharmacokinetics across Levels 4-6. I am module coordinator for Principles of Neuroscience and Pharmacology (Level 4). I am currently developing a new module for rollout in 2026/2027 in Computational Biology and Bioinformatics where students will get experience of bioinformatics, mechanistic modelling (systems biology), analysis of omics datasets and machine.

My personal pedagogy focuses on meaningful use of technology to enhance learning, pushing forward use of data-informed vignettes as case-studies built with simulation software (PK-SIM) or AI, using tools such as Padlet and Mentimeter to enhance lectures and workshops and developing interactive resources to support student learning. I am a member of my school’s Technology-Enhanced Learning (TEL) and Equality, Diversity and Inclusion (EDI) committees, lending my expertise in technology and data analysis to improve inclusive and engaging teaching.