Team

Team

Making Sense out of Data – Providing Meaning to Models

Our team is multidisciplinary and so is our approach to address problems in biological and medical research. We have twenty years of experience in interdisciplinary research and training, which led to a solid track record of successfully completed projects. Our methodologies and tools are supporting the translation of biological and medical research into real world solutions and practical applications.

The success of our team is largely determined by our vision for interdisciplinary research. Our team assembles a wide range of expertise from computer science, biology, medicine, biochemistry, engineering, physics and mathematics. However, we do not think in terms of disciplines and neither do we care much about project boundaries. Our team is International, and our collaborative network is worldwide. We prefer collaborations over competition. We are fond of transparency; we trust people, not rules.

Crew

Prof. Olaf Wolkenhauer

Prof. Olaf Wolkenhauer

Complexity, Uncertainty, Systems Theory

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Peggy Sterling

Peggy Sterling

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Alexandra Baumann

Alexandra Baumann

RNA-seq, Multi-omics Data, DNA Damage Response, Molecular Interaction Networks

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Rahul Bordoloi

Rahul Bordoloi

Machine Learning Algorithms for Ultrashort Time Series and Longitudinal Data

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Dr. Shailendra Gupta

Dr. Shailendra Gupta

Integrative workflow, Disease network, Target prediciton, Modeling & simulation

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Manjunath Mahendra

Manjunath Mahendra

Machine learning, Deep learning, Privacy aware tabular synthetic data …

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Clémence Réda

Clémence Réda

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Kristian Schultz

Kristian Schultz

Discrete Mathematics, Algorithms

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Dr. Krishna Pal Singh

Dr. Krishna Pal Singh

Molecular dynamics, theoretical chemistry and ab initio quantum mechanical.

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Orell Trautmann

Orell Trautmann

Network Theory, Deep & Machine Learning, Stochastic Processes

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Chaithra Umesh

Chaithra Umesh

Machine learning, Deep learning, Transformers for tabular data

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Dr. Matti van Welzen (Hoch)

Dr. Matti van Welzen (Hoch)

Large-scale logic network modeling, Integration & analysis of heterogeneous …

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Research Students

Marey Baden

Marey Baden

Disease network, Target prediciton, Modelling & simulation

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Daniel Bühler

Daniel Bühler

Deep Learning, Behaviour analysis, Deep lab cut

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Vanessa Caton

Vanessa Caton

Machine learning

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Dominique Fastus

Dominique Fastus

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Brutenis Gliwa

Brutenis Gliwa

Machine Learning

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Mahla Haghzad

Mahla Haghzad

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Soorya Janakiraman

Soorya Janakiraman

Network Pharmacology, Target Prediction, Disease Modeling & Simulation

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Cagri Kuzulu

Cagri Kuzulu

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Ronja Müller

Ronja Müller

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Christina Stanke

Christina Stanke

Network construction and modeling

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Associated Members

Andrea Bagnacani

Andrea Bagnacani

Data integration, Workflow Automation, Reproducibility

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Sherry Freiesleben

Sherry Freiesleben

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Tom Gebhardt

Tom Gebhardt

Visualisation, Standards, Tools

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Dr. Holger Hennig

Dr. Holger Hennig

machine learning, deep learning, image analysis of cells, personalized medicine

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Maximilian Ingwersen

Maximilian Ingwersen

Machine Learning, Deep Learning, Image Analysis, Explainable AI

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Dr. Faiz Muhammad Khan

Dr. Faiz Muhammad Khan

Disease networks, Network analysis, Modeling & simulations, Integrative …

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Dr. Xin Lai

Dr. Xin Lai

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Mariam Nassar

Mariam Nassar

Machine Learning, Data Science, Clinical Decision Support Systems

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Prof. Svetoslav Nikolov

Prof. Svetoslav Nikolov

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Dr. Ali Salehzadeh-Yazdi

Dr. Ali Salehzadeh-Yazdi

Genome-scale metabolic model, Kinetic modeling, genotype-phenotype relationship

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Dr. Martin Scharm

Dr. Martin Scharm

Reproducibility, Reuse, Transparency, Interoperability, Software, Data

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Julia Scheel

Julia Scheel

Systems Biology, Network Modelling and Analysis, preeclampsia

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Dr. Ulf Schmitz

Dr. Ulf Schmitz

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Dr. Matthias Schoen

Dr. Matthias Schoen

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Dr. Suchi Smita

Dr. Suchi Smita

multi omics data integration, Network construction and analysis, QSAR, Docking

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Prashant Srivastava

Prashant Srivastava

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Dr. Sonja Strunz

Dr. Sonja Strunz

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Prof. Julio Vera-González

Prof. Julio Vera-González

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Dr. Dagmar Waltemath

Dr. Dagmar Waltemath

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Dr. Markus Wolfien

Dr. Markus Wolfien

Workflows, Galaxy, RNA-Seq, Machine Learning

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