IRU Mathematics and Life Sciences

 
The Interdisciplinary Research Unit Mathematics and Life Sciences houses three groups at the interface of the ImmunoSensation and HCM clusters. With the combined expertise gathered here, we have a unique opportunity to create new mathematical models impacting the understanding of the immune system and diseases. The research topics range from information processing, immune response dynamics, treatment protocol modeling, sparse data in single cell approaches, cell behavior prediction, image analysis, and dynamic image analysis in the context of immune responses. For more details on each group see below.
Effland Group Small
© Johann F. Saba/UKB

Effland Group

Our research group focuses on applied mathematics with a particular focus on Biomedical Imaging Processing and Modelling. We are interested in developing novel algorithms and methods with a strong emphasis on biomedical applications. Our research topics include mathematical image processing & computer vision, machine/deep learning, modeling, and calculus of variations, which are designed for diverse medical fields such as immunology, radiology, and cardiology.

Hasenauer Group

Our research field encompasses a variety of topics including statistical inference, multi-scale models, metabolic models, mathematical modeling for infectious diseases, and machine learning in bioinformatics. In our research, we aim to provide insights into biological processes and make predictions through analysis, while also considering the complexities of the underlying mechanisms.

Hasenauer Group Picture (small)
© Clemens Peiter
Thurley Group
© M.Amin Ghasemi

Thurley Group

We investigate the regulation of immune responses by quantitative data analysis and mathematical modeling, in close collaboration with immuno-biologists and clinical scientists.

News
Second place at Hackathon together with Deutsche Telekom

We are thrilled to announce that our PhD student team, Lea Seep, Domagoj Doresic, Manuel Huth and Jonas Arruda, secured second place at the #Hack4BestCX, a joint hackathon hosted by the University of Bonn, Deutsche Telekom, and organized by the Transfer Center enaCom and the LAMARR Institute for Machine Learning and Artificial Intelligence. Focused on enhancing customer satisfaction prediction models, our team showcased skills in feature engineering and rigorously compared various ML models, ultimately selecting and fine-tuning CatBoost for optimal performance. Find more details here.

Contact

Meike Busch-Auf der Mauer

Administration for group of Jan Hasenauer

Contact

+49 (0) 228 73 69445

meike.busch@uni-bonn.de

Address

Endenicher Allee 64
53115 Bonn

Carole Rossignol

Administration for group of Alexander Effland

Contact

+49 (0) 228 73 2719

sek-effland@iam.uni-bonn.de

Address

Endenicher Alle 60
53115 Bonn

Kevin Thurley

Group leader of Thurley Group

Address

Institute of Experimental Oncology,
Venusberg-Campus 1
53127 Bonn

Location

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