Having good cancer biomarkers is important to facilitate diagnosis, therapy response monitoring, and follow-up. Preferably, these biomarkers would be detectable with less invasive methods as this would reduce the number of painful surgical procedures for the patient.
My research focuses on identifying RNAs with biomarker potential that circulate in the blood stream. By applying computational methods to RNA sequencing data of plasma samples, I try to find patterns that are either specific for a certain cancer type or indicate the presence of cancer in general.
I will also look at patient samples over time to see if certain RNAs allow monitoring of treatment response or relapse earlier than current detection methods. Such RNAs could eventually assist in choosing the best available treatment for a patient’s specific needs.
I obtained my MSc Biochemistry and Biotechnology in 2017 (major bioinformatics and systems biology, UGent).
After this master, I followed some additional courses of artificial intelligence at KULeuven.
Currently, I am a full-time doctoral fellow at UGent (KOTK Emmanuel van der Schueren grant).