computational
modeling in biology

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Sabine Hug

PhD student
Dipl. Math.


Tel.: +49 (0) 89 3187 4421
Room: 153

Research

  • Bayesian inference for nonlinear mixture models
  • Bayesian quantitative modeling and evaluation of Zirconium processing in the human body after ingestion
  • Bayesian model selection methods (thermodynamic integration)
  • MCMC Sampling of large biological systems


Publications

  • D. Schmidl, C. Czado, S. Hug and F.J. Theis. A Vine-copula Based Adaptive MCMC Sampler for Efficient Inference of Dynamical Systems. Bayesian Analysis 2013. With discussion
  • D. Schmidl*, S. Hug*, W.B. Li, M.B. Greiter and F.J. Theis. Bayesian model selection validates a biokinetic model for zirconium processing in humans. BMC Systems Biology 2012, 6:95
  • S. Hug and F. Theis. Bayesian Inference of Latent Causes in Gene Regulatory Dynamics. In F. Theis, A. Cichocki, A. Yeredor and M. Zibulevsky, editors, Proc. LVA/ICA 2012, volume 7191 of LNCS, pages 520-527. Springer, Tel Aviv, Israel, 2012. 10.1007/978-3-642-28551-6_64.


Conference contributions

  • Hug S, Schmidl D, Li W B, Greiter M and Theis FJ. Bayesian Model Selection for Zirconium Processing in the Human Body after Ingestion. Workshop Parameter Estimation in Dynamical Systems, Eindhoven, 2012
  • Hug S, Schmidl D, Li W B, Greiter M and Theis FJ. Bayesian Model Selection for Zirconium Processing in the Human Body after Ingestion. GCB 2011, Freising
  • Hug S, Theis FJ. Bayesian inference of latent causes within a nonlinear mixture model describing gene regulatory dynamics. Summer School on Statistical Modelling of Biological and Environmental Systems 2011 (SMBES2011), Venice

 

Curriculum Vitae

 

Sabine Hug studied Mathematics with minor subject physics at the Technical University Munich and, for one semester, at Uppsala University. The focus of her studies were numerical mathematics, algebra, fluid dynamics and astrophysics. The combination of numerical mathematics and fluid dynamics and a profound interest in medicine and biology lead to her diploma thesis „The immersed boundary method for the simulation of blood flow“. She graduated in 2010 and decided to further pursue the applications of mathematics in biology, thus joining the group „computational modeling in biology“ at Helmholtz Research Center Munich as a PhD student.