Life Science Data Analytics
and Algorithmic Bioinformatics
Thesis

PhD students and Postdocs

We are looking forward for excellent PhD students and postdocs, who are interested in data science / data analytics as well as applications in life sciences. There are currently no open funded positions.

Supervised and completed PhD theses:

  • Dr. Yupeng Cun, Network-Based Biomarker Discovery: Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge, University of Bonn, 2014
  • Dr. Paurush Praveen, Reverse engineering of biological signaling networks via integration of data and knowledge using probabilistic graphical models, University of Bonn, 2014
  • Dr. Khalid Abnaof, Finding Common Patterns in Heterogeneous Perturbation Data, University of Bonn, 2016
  • Dr. Satya Samal, Analysis of Biochemical Reaction Networks using Tropical and Polyhedral Geometry Methods, University of Bonn, 2016 (joint supervision with Prof. Andreas Weber and Prof. Ovidiu Radulescu)
  • Dr. Benjamin Engelhardt, Mathematical Analysis and Modeling of Signaling Networks, University of Bonn, 2017

Bachelor and Masters thesis

We like to welcome students interested in a Bachelor or Masters thesis in topics covering our fields of interest.

Supervised Theses (since 2010):

  • Amit Kawalia, Network Based Comparison of Gene Signatures, 2011
  • Stephan Andonov, Ontology Tester, 2011
  • Afhsin Sadeghi, Empirical Comparison of Steiner Tree Methods on Protein Interaction Networks, 2012
  • Sohil Anand, Networks in TGF-beta Stimulated Multipotant Progenitor & Dendritic Progenitor Cells, 2012
  • Nikhil Vinod Mallela, Analysis of Cell Type Specific Response of Gene Expression to TGF-beta Treatment, 2013
  • Richard Schaefer, Reconstruction of gene interaction networks from combined SNP and mRNA expression data, 2013
  • Tabea Madeline Diekmann, Inference of nested effects models from combinatorial perturbation data with application to reconstructing the yeast kinome network, 2013
  • Mohsen Ahmadi Fahandar, Predicting Potent Compounds via Model-Based Global Optimization, 2014
  • Muhammad Ahmer Jamil, Developing a tool for fast analysis of LINE-1 Next-Generation Sequencing Methylation data, 2014
  • Deena Gergis,Modeling Hedgehog pahway in medulloblastoma using Dynamic Bayesian networks with systems biology approach, 2014
  • Nikolas Kleanthous, Biomarker Signature Discovery from Multiple Omics and Clinical Data, 2015
  • Shashank Khanna, Early AD Onset Prediction Integrating Heterogeneous Data Sources and Model Interpretation via Bayesian Networks, 2017