This image shows Sebastian Höpfl

Sebastian Höpfl

M.Sc.

Research Assistant
Institute for Stochastics and Applications
Mathematical modeling and simulation of cellular systems

Contact

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.241

Office Hours

By appointment in my Webex Room.

Subject

Systems Biology and handling of parameterized models. Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.

List of Publications:
  1. Sebastian, H., Jürgen, P., & Nicole, R. (2023). Bayesian estimation reveals that reproducible models in Systems Biology get more citations. Scientific Reports. https://doi.org/10.1038/s41598-023-29340-2
  2. Wagner, V., Höpfl, S., Klingel, V., Pop, M. C., & Radde, N. E. (2022). An inverse transformation algorithm to infer parameter distributions from population snapshot data. IFAC-PapersOnLine, 55(23), Article 23. https://doi.org/10.1016/j.ifacol.2023.01.020
  3. Albadry, M., Höpfl, S., Ehteshamzad, N., König, M., Böttcher, M., Neumann, J., Lupp, A., Dirsch, O., Radde, N., Christ, B., Christ, M., Schwen, L. O., Laue, H., Klopfleisch, R., & Dahmen, U. (2022). Periportal steatosis in mice affects distinct parameters of pericentral drug metabolism. Scientific Reports, 12(1), Article 1. https://doi.org/10.1038/s41598-022-26483-6
  4. Christ, B., Collatz, M., Dahmen, U., Herrmann, K.-H., Höpfl, S., König, M., Lambers, L., Marz, M., Meyer, D., Radde, N., Reichenbach, J. R., Ricken, T., & Tautenhahn, H.-M. (2021). Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.733868
since 04/2021 Research Assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart
11/2018 - 03/2021

Master studies in Technical Biology at the University of Stuttgart, Germany

Specializations:

  • Pharmaceutical Biotechnology (Molecular Cell Biology of Cancer and Downstream Processing)
  • Computational Biology (Dynamic Modelling and Protein Design)

Master Thesis: "Implementation and simulation of DLC1 in TGF-b induced Epithelial-to-Mesenchymal
Transition (EMT)." At the Institute for Systems Theory and Automatic Control in the Systems Biology group of Nicole Radde.

10/2015 - 10/2018

Bachelos studies in Technical Biology at the University of Stuttgart, Germany

Bachelor Thesis: "Detection of in vivo RNA:RNA interactions– investigation and optimization of the key experimental steps." At the Institute of Biochemical Engineering in the Computational Biology, Bioinformatics and RNA Biology group of Björn Voß.

2017

Internship at AID Autoimmun Diagnostika GmbH, Straßberg

Topic: "Development of a statistical method to monitor the quality of antigen
batches in EliSpot diagnostics."

06/2015 A-levels at the HWS Albstadt (Profile Biotechnology).

My focus is on the mathematical modeling of biological systems. The holistic view of systems biology in a field as complex as biology is what fascinates me the most. To gain knowledge from this context and thus develop drugs and help people is my motivation and passion. From my point of view, the best way to get this knowledge is to take a deeper look at the data we generate. Today we have great technologies to generate huge amounts of biological data. Analysing this data is fascinating to me and creating and validating models of this data also helps me to advance my understanding of systems biology.

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