Implemented a semi-automated clinical sample management system using JSL, streamlining sample tracking, improving accuracy, and ensuring regulatory compliance.
Developed Tableau dashboards using SQL to analyse product performance data, enabling data-driven decisions enabling faster identification of product issues and improving customer satisfaction.
Contributed to IVDR product development in a BSL-3 environment, adhering to GxP guidelines and maintaining high safety and quality standards.
Research Summer in Peter Scheiffele Lab
University of Basel
My project aimed to evaluate if the method of rolling circle amplification can be used to detect alternative spliced mRNA in cortical neurons in mice.
Education
MSc Bioinformatics and Computational Biology
University of Fribourg and Bern
First semester included:
Gained proficiency in Bash, Python, and R programming, with a focus on bioinformatics applications. Built a strong foundation in biostatistics.
Acquired hands-on experience SNP calling using tools like SnpEff, and performed de novo assembly of HiFi reads.
Conducted an RNA-seq project analysing breast cancer samples using HPC computing. Workflow and code are available on GitHub.
MRes Stress, Ageing and Chronic Disease
University of Brighton
Investigated abnormalities in routine kidney function tests as markers of severe COVID‑19 using machine learning techniques.
Acquired Python programming skills autonomously to preprocess data, develop predictive models, and extract actionable insights.
Collaborated within a multidisciplinary team to address complex research challenges.
Presented findings at the British Pharmacology Society Annual Meeting 2021 and published research in IJMS (doi:10.3390/ijms23137260).
BSc Hons Biomedical Science
University of Brighton
My project evaluated whether the data generated by 23andMe yielded SNPs thought to have a significant effect on the metabolism of simvastatin and warfarin.
Skills & Hobbies
Awards
Biomedical Science Project Prize for Best Biomedical Science Project