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Elba Raimúndez Álvarez

Contact

Endenicher Allee 64, 53115 Bonn, Germany

📞  +49 (0)228 73 62264

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Short CV

Elba Raimúndez (*1992) studied a degree in Biochemistry at Universidad Automona de Madrid (Madrid, Spain), which then she complemented with a M.Sc. in Bioinformatics for Health Sciences at Universitat Pompeu Fabra (Barcelona, Spain). During her master thesis, she focused on the study of pulsatile dynamics using stochastic differential equation models in biological systems. In January 2017, she started her doctoral studies at the Technische Universität München.

The research of Elba Raimúndez focuses on the parameterization mechanistic models from biological systems. Applications vary from ODE models, in particular in the context of drug response in gastric cancer cell lines, to stochastic rule-based models using Aproximate Bayesian Computation. Moreover, she is developing an efficient Monte Carlo sampling method for relative experimental data. She also contributes providing statistical analysis of patient survival data from the VARIANZ study.

Publications

  • Raimúndez E, Dudkin E, Vanhoefer J, Alamoudi E, Merkt S, Fuhrmann L, Bai F, and Hasenauer J (2021). COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling. Epidemics, 100439.
  • Schmiester L, Schälte Y, ..., Raimúndez E, ..., Hasenauer J, Weindl D (2021). PEtab -- Interoperable specification of parameter estimation problems in systems biology. PLoS Computational Biology, 17(1): e1008646. https://doi.org/10.1371/journal.pcbi.1008646 
  • Raimúndez E, Keller S, Zwingenberger G, Ebert K, Hug S, Theis F J, Maier D, Luber B, and Hasenauer J (2020). Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. PLoS Computational Biology, 16(3):e1007147. https://doi.org/10.1371/journal.pcbi.1007147
  • Ebert K, Zwingenberger G, ..., Raimúndez E, Hasenauer J, Luber B (2020). Determining the effects of trastuzumab, cetuximab and afatinib by phosphoprotein, gene expression and phenotypic analysis in gastric cancer cell lines. BMC cancer, 20(1), 1-19. https://doi.org/10.1186/s12885-020-07540-7
  • Hass H, Loos C, Raimúndez-Álvarez E, Timmer J, Hasenauer J, and Kreutz C (2019). Benchmark problems for dynamic modeling of intracellular processes. Bioinformatics, btz020. https://doi.org/10.1093/bioinformatics/btz020
  • Villaverde A F, Raimúndez E, Hasenauer J, and Banga J R (2019). A comparison of methods for quantifying prediction uncertainty in systems biology. IFAC-PapersOnLine, 52(26):45-51. https://doi.org/10.1016/j.ifacol.2019.12.234
  • Martinez-Corral R, Raimundez E, Lin Y, Elowitz M B, and Garcia-Ojalvo J (2018). Self-Amplifying Pulsatile Protein Dynamics without Positive Feedback. Cell systems, 7(4), 453-462. https://doi.org/10.1016/j.cels.2018.08.012
  • Lordick F, Haffner I, Luber B, Maier D, Raimundez E, Hasenauer J, ... and Siegler G (2018). Heterogeneity of HER2 expression in gastric cancer (GC) leads to high deviation rates between local and central testing and hampers efficacy of anti-HER2 therapy: Survival results from the VARIANZ study. https://doi.org/10.1158/1538-7445.AM2018-2615

Projects and Tools

  • Efficient Sampling by Marginalization of Scaling Parameters for ODE Models with Relative Data.
  • SYS-Stomach.
  • Contributing to KoCo19 cohort study.
  • Contributing to development of pyPESTO and PEtab.
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