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University of Leeds


Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC
Intern: Millie Cain
Degree course: Classical Civilisations with English
LinkedIn Profile


I study Classical Civilisations with English at the University of Leeds, both subjects immensely interesting to me. Over my time studying, I've especially loved eco-critical literature, early Roman epic poetry and exploring sensory perceptions in ancient society.
From hours spent reading, to accessing large-scale classical art databases, I became interested in Digital Research to help streamline my studies and understanding, and hopefully share that with other students on the same lines.
Outside my degree I write and edit for a few music magazines, play football locally, and love to get outside!

Why did you apply for this internship?
I applied for the valuable opportunity to learn, be immersed in Digital Research, expand my skills, and help to share my learning and findings. I haven't had the opportunity before to explore technical skills, and especially one's directly relevant to my breadth of study, so once I saw the opportunity, knew I had to get involved!

I'm excited to learn more about what capabilities Digital Research has for my learning and academic development has moving forwards, as well as opening up future opportunities.

What do you hope to gain in completing this project?
I hope to gain a completely new skillset, understanding, and ambition within the Digital Research team. Having the support and access to such incredible skills, mentors, and tools will hopefully support my future learning and opportunities within the field, as well as supporting my learning within University.


Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC
Intern: Namira Chowdhury
Degree course: BSc Neuroscience
LinkedIn Profile

I chose BSc Neuroscience purely out of curiosity. The nervous system is highly ambiguous and there is still so much we don't know. I always had so many questions, and I wanted to be involved in the search for answers. My degree allowed me to explore all aspects of research, from directly being involved in the collection of samples to using computational neural networks to explore the structural biology of tau proteins involved in Alzheimer's, which was my final year project.

After completing my final year project, I realised that I enjoy computational neuroscience, a relatively recent field that utilised computational and digital research tools to explore parts of biology that cannot be researched using traditional experimental methods.

Outside my interest in the nervous system and computational neuroscience, I enjoy reading. I believe it is an under appreciated form of media, and in the current climate, reading and interpreting literature is an essential skill. When I am not reading, I am attending art workshops or travelling.


Interpreting Readability Evaluation with Explainable AI
Intern: Owais Mahmood
Degree course: Computer Science
LinkedIn Profile

I have a strong interest in how computational methods can be used to solve real-world problems. I chose this degree because I enjoy problem-solving, logical thinking and understanding how software systems are built and applied in different contexts.

Over the course of my studies, I have become particularly interested in areas such as data analysis, machine learning and research computing. I enjoy exploring how tools and techniques can be used to extract meaning from data and support decision-making, especially in contexts where technology intersects with research.

After graduating, I hope to pursue a career in data science, artificial intelligence or research software engineering, where I can continue developing my technical skills while contributing to impactful projects.

Why did you apply for this internship?
I applied because I feel as though it directly aligns with my academic interests in computer science and my growing curiosity about how computational methods are used in real research environments. In particular, I am interested in areas such as data analysis, machine learning and research computing, and I am keen to gain hands-on experience with tools and workflows that go beyond what is typically covered in my degree.

The opportunity to work with high-performance computing systems and research software is especially appealing, as it offers a chance to understand how large-scale data and computational problems are handled in practice. I am also interested in developing my skills in areas such as reproducible research, data workflows and software engineering within a research context.

Overall, I see this internship as a valuable opportunity to build on my technical foundation, develop practical experience in a research environment and gain a clearer insight into potential future career paths in digital research, data science and AI.

What do you hope to gain in completing this project?

I hope to gain practical experience working within a research computing environment, particularly in relation to high-performance computing and data-driven workflows. I am keen to develop my technical skills beyond the classroom, especially in areas such as working with large datasets, using research software tools, and understanding how computational pipelines are designed and applied in real research contexts.

I also hope to improve my ability to work with more advanced programming and analysis tools, while gaining a better understanding of best practices such as reproducibility, documentation and structured research workflows.

In addition, I would like to gain insight into how research software engineers and digital research teams collaborate to solve complex problems, as this is an area I am considering for my future career. Overall, I see this project as an opportunity to strengthen both my technical ability and my understanding of applied computational research.


Where did the English novel come from? Experimenting with computational approaches to investigate language in seventeenth-century prose fiction
Intern: Nell Wilkinson
Degree course: English Language and Literature
LinkedIn Profile

I chose to study English Language and Literature because I am fascinated by language whether that be through the mundane everyday exchange of words or the way human experience is captured in Literature. During my studies I have been introduced to digital research technologies such as distant reading or corpus linguistics and am eager to deepen my understanding of how the humanities and technology can work in tandem to create insightful research beyond the capabilities of traditional approaches. Studying a module on Digital Discourse has inspired the idea of doing my final year dissertation on the current interconnectedness of politics and computer-mediated-communication, particularly social media. I wish to carry these skills into my future with the hope of researching language in various fields such as media or forensics.

Why did you apply for this internship?
 I chose to apply for this internship because of the N8 CIR's support of the Digital humanities. Being a digital native and existing in the time of simulacra and panic surrounding the ways in which new technologies are destroying the arts and humanities, I believe it is vital to explore the ways in which we can create a collaboration which not only preserves the humanities but creates new, previously unimaginable insights into the sector. I have a great interest in how both language and literature have evolved and this project provided opportunities to learn how to use and employ OCR tools, data cleaning, data extraction, sentiment tools and so on. My passion for both literature and language and how these can be computationally analysed fuelled my interest in this internship.

What do you hope to gain in completing this project?
I look forward to studying and familiarising myself with a period of literature which is underrepresented in criticism and culture. I am also eager to familiarise myself with emerging technologies in the digital humanities such as OCR tools, data cleaning techniques, data tagging and data extraction. These would be invaluable skills in both my University and future career. I have been exposed to Generative AI and large language models in my studies through a semi–critical lenses, with a healthy dose of scepticism, however now the technology is constructed and utilised in academic research, I am interested to see how it can be deployed under the right governance to democratise technology and information.


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