EN DE

Jun.-Prof. Dr.
Susanne Gerber

Principal Investigator

Contact

Institute for Developmental Biology and Neurobiology
Johannes Gutenberg University Mainz
Staudingerweg 9
55128 Mainz

+49 (0) 6131 39 27731

CRC 1193 PROJECTS

Expertise

Dr. S. Gerber’s expertise is in standard and advanced methods for Gene-expression and NGS-data analysis, biostatistics and multivariate analysis of high-dimensional and heterogeneous BIG data sets. Furthermore, she and her group are focusing on the development of methods and pipelines for the integration of Omics data as well as trans-Omics analysis approaches with the aim to identify networks and relations across various omics-layer (e.g., genome, transcriptome, epigenome and proteome). Published work of Dr. Gerber and her group includes gene-expression data analysis applications, analysis of epigenetic features like histone and DNA modifications and data-driven investigation of methylation patterns in genes associated with longevity.  Her work on development of new data analysis methods and pipelines includes development of novel regularized clustering methods for multi-dimensional data analysis, pipelines for automated (pre-)processing and enriching of data from NGS sequencing techniques like RNA-seq and Chip-Seq and Bayesian modeling and reduction methods for general categorical data.

Vita

Since 2016

Assistant Professor for Bioinformatics at the Faculty of Biology, Gutenberg-University of Mainz (JGU) and Center for Computational Sciences Mainz (CSM). Head of the Computational Systems Genetics Group.

2011 – 2015

PostDoc at the Faculty of informatics, Universita della Svizzera italiana (USI), Lugano, Computational time series analysis Group, Institute of Computational Science (ICS)

2007 – 2011

Dr. rer. nat in Biophysics, Humboldt University of Berlin, Theoretical Biophysics Group, supervisor: Prof. Dr. Dr. h.c. Edda Klipp

Publications

Gerber S, Olsson S, Noe F, Horenko I (2018) A scalable approach to the computation of invariant measures for high-dimensional Markovian systems. Sci Rep, 8:1796

>> Link to PubMed

Gerber S, Horenko I (2017) Toward a direct and scalable identification of reduced models for categorical processes. Proc Natl Acad Sci USA 114(19):4863-4868.

>> Link to PubMed

Gerber S, Fröhlich M, Lichtenberg-Fraté H, Shabala S, Shabala L, Klipp E (2016) A Thermodynamic Model of Monovalent Cation Homeostasis in the Yeast Saccharomyces cerevisiae. PLoS Comput Biol 12(1):e1004703.

>> Link to PubMed

Hosiner D, Gerber S, Lichtenberg-Fraté H, Glaser W, Schüller C, Klipp E (2014) Impact of acute metal stress in Saccharomyces cerevisiae. PLoS One 9(1):e83330.

>> Link to PubMed

Gerber S, Horenko I (2014) On inference of causality for discrete state models in a multiscale context. Proc Natl Acad Sci USA 111(41):14651-6.

>> Link to PubMed

Coordinating Functions

Since 2017

Member of the scientific advisory committee of the graduate center, University of Koblenz

2017

Member of the appointment committee for an Assistant Professor position in BIG data

Since 2016

Member of committees for PhD prospectus, proposal and PhD defense

Since 2016

Member of the Faculty board of the Institute of Developmental Biology and Neurobiology at the faculty of Biology

Awards, Grants and Honor

2017

Priceholder in the Contest "Neue Wege in der Lehre” (Innovations in teaching), awarded by the Joint Commission of the Virtual Campus Mainz, Gutenberg Teaching Committee, Gutenberg University of Mainz and the University of Applied Sciences, Mainz