Hi, I'm Niamh đź‘‹
I care about how things work and how they can work better, from cells and datasets to dancers in a studio. Most of what I do sits somewhere between dance, biology, and code.
My background is a mix of full‑time dance training and teaching, life sciences and bioinformatics, and day‑to‑day work with clinical trial data. The common thread is trying to make complex systems a little clearer and kinder for the people moving through them.
đź©° Years in the Studio
I am a fully qualified ballet and jazz dance teacher, after spending two years in full‑time training and then teaching across different ages and levels. Teaching gave me a grounded sense of musicality, discipline, and how to adapt explanations to different bodies and learning styles, skills that now shape how I think about research questions and communication.
Alongside teaching, I have worked on live performances and festivals, coordinating rehearsals and helping bring shows to the stage, which taught me to stay calm, organised, and solution‑focused when the pressure is highest.
🧬 Science, Curiosity & Code
My academic path moved through molecular medicine into a Master’s in bioinformatics at KU Leuven, where I work with real datasets and computational tools to make sense of biological systems. I enjoy the process of taking a messy question, turning it into something that can be modelled or analysed, and then translating the results back into something humans can actually use.
Outside of formal coursework, I like building useful tools — small but concrete things that simplify workflows, automate repetitive tasks, or make complex analysis steps less intimidating for others.
🤖 AI, Tools & Problem‑Solving
I am hugely interested in how AI fits into everyday life and research, from language models that help with writing and coding to algorithms that support better decision‑making in science and healthcare. This interest has grown through my bioinformatics studies and through involvement with student AI communities in Leuven, where I have helped organise tech‑focused events and logistics.
A lot of my projects start as a simple annoyance, something that feels harder than it should, and then become an excuse to design a cleaner workflow, write a small package, or build a tool that other people can also use.
🚀 What I’m Building & Exploring
Some ongoing projects and experiments:
- Dance Medicine Digest – short research digests in dance science and performing arts medicine
- Algorhythm – a Python package for audio segmentation & classification
- OpenNano – tools for NanoString GeoMx DSP data
- Conda environment dependency manager
- ToDo Bot – task and role management in Discord
- Climate Analysis – exploring regional climate dynamics
Curriculum Vitae
Download my CV here.
Alternatively, you can view the online version below:
Projects
A blog summarising current research in dance science and performing arts medicine for dancers, teachers, and clinicians.
A Discord bot for managing tasks, assigning roles, and tracking to-do lists efficiently.
An automated system for tracking, installing, and removing dependencies in Conda environments.
Using dimensionality reduction, clustering, and topological data analysis to explore climate trends in the Benelux region 1960-2023.
An open-source tool for analyzing NanoString GeoMx DSP data in Python.
A Python package for scalable, production-ready audio segmentation and classification workflows.
Contact
Interested in collaborating?
Feel free to reach out via email or connect with me on social media!