Dr. rer. physiol. Alicia Schulze

Research Associate | Department of Genomic Statistics and Bioinformatics
Building: Bonifazius-Turm A
21. floor, room 11
Phone: +49 (0) 6131 17-8207
Mail: alicia.schulze@uni-mainz.de
Building: Bonifazius-Turm A
21. floor, room 11
Phone: +49 (0) 6131 17-8207
Mail: alicia.schulze@uni-mainz.de
Research Interests
- Planning and analysing RNA-seq data
- Integrative analysis of high dimensional data
Projects and Activities
- Intrinsic radiation therapy: Identification of biological and epidemiological long-term effects (ISIBELa)
- Statistical consulting
- Teaching of Q1 and MSE
Short CV
Postgraduate professional career- 2014 - now: Research Associate, University Medical Center Mainz, IMBEI
- 2013 - 2014: Research Assistant, University Medical Center Mainz, Institute of Physiological Chemistry
- 2011 - 2012: Probationary Teacher on secondary school
University training and degrees
- 2014 -2017: PhD in Biostatistics/Bioinformatics, University Medical Center Mainz, IMBEI
- 2005 - 2010: First State Examination for Education (equivalent to M.ED.) in Biology and Mathematics, Johannes Gutenberg University Mainz
- 2003 -2008: Diplom (equivalent to M.Sc) in Biology, Johannes Gutenberg University Mainz
Other professional activities
- Memberships of International Biometric Society (IBS)
Publications
ORCIDGoogle Scholar
Selected publications:
-Brackmann, L. K., Poplawski, A., Grandt, C. L., Schwarz, H., Hankeln, T., Rapp, S., Zahnreich, S., Galetzka, D., Schmitt, I., Eckhard, L., Mirsch, J., Blettner, M., Scholz-Kreisel, P., Hess, M., Binder, H., Schmidberger, H., Marron, M. (2020). Comparison of time and dose dependent gene expression and affected pathways in primary human fibroblasts after exposure to ionizing radiation. Molecular Medicine, 26(1), 1-13. DOI
- Poplawski, A., Binder, H. (2017). Feasibility of sample size calculation for RNA-seq studies. Briefings in bioinformatics. DOI
- Poplawski, A., Marini, F., Hess, M., Zeller, T., Mazur, J., & Binder, H. (2015). Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. Briefings in bioinformatics, bbv036. DOI