Research
Dominik Kopczynski’s research group at the University of Vienna develops algorithms and data science methods for omics research. The group focuses on multiomics, bioinformatics, and the development of innovative data formats, databases, and software solutions for interpreting complex biological datasets. By integrating computational modeling, machine learning, and statistical analysis with analytical chemistry, the group aims to improve the interpretation of molecular data.
A central objective of the research is to enable reproducible, scalable, and data-driven analysis workflows that support modern analytical chemistry-driven research. The group collaborates across disciplines to translate complex omics data into meaningful knowledge, contributing to a deeper understanding of the chemical nature of biological samples.
Available theses
We regularly offer a variety of Bachelor’s and Master’s thesis topics in our group depending on lab capacities. Students interested in current opportunities are welcome to contact us for further information and to learn more about our lab. Together, we can discuss possible topics and find a project tailored to your specific interests. Current topics of Master’s thesis are listed below, Bachelor’s thesis topics are usually determined at short notice and generally relate to our research topics mentioned on the website. If you are generally interested in the areas we focus on and enjoy experimental work, you should definitely get in touch with us. We provide an interdisciplinary research environment, offering the chance to learn a variety of methods in the field of lipidomics.
