Writing portfolio

Complex science, made clear

Two treatments of computational neuroscience research: one written for curious general readers, the other for a technically informed audience.

One subject, two audiences

Writing that meets readers where they are

Good science writing is not simply about removing technical language. It is about understanding what matters, preserving accuracy and shaping the explanation around the people who will read it.

The samples below draw on peer-reviewed research that I co-authored into the computational modelling of early Alzheimer’s-related changes in the brain. Together, they show how the same research area can be communicated with very different levels of detail.

Featured work

Plain-language science Approx. 750 words

The Brain’s Own Repair Crew: How Support Cells Fight Back in Alzheimer’s

Some of the earliest damage in Alzheimer’s disease is not about memory at all: it concerns the failing link between what we see and how we move. This article follows a study asking whether overlooked support cells might help the brain restore part of that function.

Written for
General and non-specialist readers
Demonstrates
Accessible explanation, narrative structure and careful treatment of evidence
Read the full sample → View the source research
Technical science writing Approx. 880 words

Finding the Tipping Point: Modelling Cholinergic Failure in the Alzheimer’s Thalamus

How can the earliest circuit-level signs of Alzheimer’s disease be captured in a computer model? This article describes an award-winning study that embedded the chemistry of acetylcholine signalling into a population model of the brain’s visual relay.

Written for
Readers familiar with computational neuroscience or mathematical modelling
Demonstrates
Technical synthesis, methodological precision and critical discussion of limitations
Read the full sample → View the source research
Peer-reviewed foundations Both samples are based on research co-authored by Dr. Dasgupta.
Best Paper recognition The 2017 study received both Best Paper of the Session and Best Paper of the Conference at SocProS.
Research developed further The later work was published in IEEE Transactions on Computational Biology and Bioinformatics in 2026.

Project context

Research, implementation and communication

For the earlier project, I communicated the biological model, numerical method and research findings to Dr. Neil Buckley, who assisted with computational implementation and during preparation of the manuscript. The published chapter formally acknowledges his help.

Alongside my doctoral research, I worked as a Graduate Teaching Assistant at Liverpool Hope University from 2017 to 2019. That combination of research and teaching continues to shape how I explain technical ideas: accurately, supportively and with the reader or learner in mind.

Have research that needs the right words?

Whether you need a technical article, a clear explanation for a wider audience or thoughtful help shaping complex material, I would be glad to discuss it.

Start a writing enquiry →