Skip to main contentSkip to footer
A finger pointing at a scan
Brighton & Sussex Medical School

staff profiles

BSMS > About BSMS > Contact us > Staff > Orsolya Eva Zempleni

Orsolya Eva Zempleni

Orsolya Zempleni profile photo

Orsolya Eva Zempleni

PhD student
E: O.Zempleni1@uni.bsms.ac.uk
Location: Watson Building, University of Brighton, Falmer, BN1 9PH

Areas of expertise: Biomedical science, genetics, gene expression analysis, molecular biology-based techniques, data analysis, and statistics

Research areas: Healthcare science, molecular biology, statistics, data science

Biography

Orsolya (pronounce: Orshoya) is a PhD student at Brighton and Sussex Medical School. She completed her undergraduate degree in Biological Sciences at the University of Brighton and went on to complete an MSc in Genetic Manipulation and Molecular Cell Biology at the University of Sussex.

Prior to starting her PhD, Orsolya worked for three years as a Medical Laboratory Assistant in the Microbiology Department at the Royal Sussex County Hospital. During this time, she gained hands-on experience working with patient samples and a range of analysers. Alongside her laboratory work, she also served as a union and learning representative, providing advice and support to colleagues on workplace issues and professional development.

Research

Orsolya’s current research focuses on improving the reproducibility and reliability of gene expression analysis. Her work combines molecular biology techniques, such as quantitative PCR (qPCR), with statistical modelling and bioinformatics approaches. Looking ahead, she aims to expand her research to include both short-read (Illumina) and long-read (Nanopore) sequencing technologies to enhance the robustness of molecular data analysis.

The research carried out will be of fundamental importance in the increasing use of genomics and personalised medicine for the prognosis and diagnosis of human diseases, including cancer.

BACKGROUND IMAGE FOR PANEL

Teaching

Orsolya is also passionate about teaching and supporting student learning and is available to assist or co-supervise undergraduate research projects in biomedical sciences, molecular biology, genetics, and applied statistics.