Welcome to my Github page - if you’ve made it here, it’s likely you know that coding plays a significant role in my professional life. Spot on! If I haven’t lost you there already, let me give you a brief overview on what I’m working on right now and how I got here.

Currently, I’m working as a Data Analyst Programmer for a team at the University of Edinburgh, after completing my Master of Science program in Health Data Science at the University of Aberdeen. I’m passionate about using Data Science for the social good, particularly within the 🧬 biomedical domain.

Here’s a glimpse of my coding journey 💻

• It started with watching YouTube videos about sorting algorithms and neural networks
• It started with small Java scripts during my undergraduate studies in Bioinformatics. These focused on algorithmic approaches in bioinformatics and handling Next-Generation-Sequencing (NGS) RNA-seq data (see respective repository).
• During my second and third semester, I had the great opportunity to learn Python while gaining first experiences with a supervised machine learning workflow by studying signal peptides and developing a model to predict those from the amino acid sequence (see respective repository).
• Later, I was able to strengthen my skills through a seminar project on predicting binding residues using embeddings pre-learned through protein language models (see respective repository).
• In the scope of a voluntary internship with the PSPH in Munich, I got to explore a different perspective of the buzzing field of ML and artificial intelligence through exploring gender bias in health-related AI.
• Within my bachelor’s thesis, I analysed full-proteome predictions for a multitude of protein features. This included the creation of various visualisations and their automatic creation for several multi-organism comparisons. I additionally worked on making them accessible via a web-application, which I refined as a student research assistant (see respective repository).
• I explored R for data analysis projects during my postgraduate degree and expanded my supervised ML experience to the R language (see respective repository).
• Further coursework allowed me to analyse geospatial and time series COVID-19 data of the G7 countries, specifically the United States, using the Wolfram Language (Mathematica) (see repository).
• For my Masters research project, I am working on a ML-focused project that involves me setting up a deep learning model using the DeepLabCut and TensorFlow Python libraries. The project aimed to explore the potential benefits of cross-species transfer learning from macaque monkeys. It investigated if transfer learning could prove beneficial in quantifying human movement patterns from regular video data, in order to ultimately improve movement pathology diagnosis and monitoring. I got to expand my hands-on experience with ML tools, and the code is available in the repository.
• Within the scope of a hack weekend I attended, I worked on developing a prototype web application for a platform that enables the public and healthcare enthusiasts to explore and analyse Scotland’s prescribing data. I am hoping to be part of taking this project further in the future! Currently, the project code is available through the OpenData Scotland Github (see repository).
• After part-time job search, part-time training and working as a Barista, I am excited to now be working as Data Analyst Programmer for an amazing working group at the University of Edinburgh. More details to come 😊

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