Alexander Lück

MSc. Physics

Saarland University,
Campus E1 3, Room 325
66123 Saarbrücken

Phone: +49 (0)681 302-5617
E-Mail: alexander.lueck(-at-)

I am a PhD student at the group of Modeling and Simulation since January 2015.

Publications [gs] [rg]

  • P. Kurasov, A. Lück, D. Mugnolo, V. Wolf:
    Stochastic hybrid models of gene regulatory networks – A PDE approach, Math. Biosci 305, 2018
  • C. Arita, J. Bosche, A. Lück, L. Santen:
    Localization of a microtubule organizing center by kinesin motors, J. Stat. Mech. 12 123210, 2017
  • A. Lück, P. Giehr, J. Walter, V. Wolf:
    A Stochastic Model for the Formation of Spatial Methylation Patterns, Computational Methods in Systems Biology, CMSB 2017
  • A. Lück, V. Wolf:
    Generalized method of moments for estimating parameters of stochastic reaction networks, BMC Syst. Biol. 10:98, 2016
  • A. Lück:
    Replicated computational results (RCR) report for “Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems.”, ACM Trans. Model. Comput. Simul. 26, 4, Article 27, 2016
  • C. Arita, A. Lück, L. Santen:
    Length regulation of microtubules by molecular motors: exact solution and density profiles, J. Stat. Mech. 6 P06027, 2015


Teaching Assistance

Summer Semester 2019: Lecture Probabilistic Models and Data Analysis
Winter Semester 2018/19: Seminar Probabilistic Models of Concurrency
Winter Semester 2017/18: Ringvorlesung Perspektiven der Informatik
Winter Semester 2016/17: Lecture Modelling and Simulation
Summer Semester 2016: Proseminar Prob. Modelle und Netzwerkmodellierung
Winter Semester 2015/16: Ringvorlesung Perspektiven der Informatik
Summer Semester 2015: Proseminar Anwendungen stochastischer Modelle

Other work

I reviewed manuscripts for the following conferences CAV 2015, CAV 2017, CIBCB 2019, CMSB 2016, CMSB 2017, CONCUR 2018, HSB 2019, MMB&DFT 2016, and journals Applied Mathematics and Computation, BMC Bioinformatics

I have been the co-supervisor of the following theses:

  • A. Kupitz: Design and calibration of stochastic models for DNA methylation patterns, Master Thesis, 2019
  • A. Bies: Multi-dimensional moment-based methods for parameter inference in biochemical networks, Bachelor Thesis, 2016