Dr.-Ing. Nadine Rudolph (nee Strobel)

Postdoctoral Researcher   Institute for Automation Engineering (IFAT)   Laboratory for Systems Theory and Automatic Control   Otto-von-Guericke University Magdeburg   39106 Magdeburg - Germany Phone: +49-391-6750211 Fax: +49-391-6711191 Email: nadine.rudolph@ovgu.de

Education

Dec 2019 - Jul 2020	Postdoctoral Researcher in Prof. Dr.-Ing. Rolf Findeisen's group for Systems Theory and Automatic Control at the Otto-von-Guericke-Universität Magdeburg
Nov 2019	PhD graduation
Aug 2015 - Jun 2016	Maternity and parental leave
Aug 2013 - Nov 2019	Member of the International Max Planck Research School Magdeburg for Advanced Methods in Process and Systems Engineering (IMPRS ProEng)
Sept 2012 - Nov 2019	PhD Student and Research Assistant in Prof. Dr.-Ing. Rolf Findeisen's group for Systems Theory and Automatic Control at the Otto-von-Guericke-Universität Magdeburg
Jul - Dec 2009	Integrated study at the Norwegian University of Science and Technology Trondheim (NTNU) in the Department for Cancer Research and Molecular Medicine
Oct 2006 - Sept 2012	Study of Biosystems Engineering at the Otto-von-Guericke-Universität Magdeburg
Jan - Aug 2006	Voluntary worker in Social Services, Höfn (Iceland)

Scholarships

Jul - Dec 2012	Research fellowship, Forschungszentrum Dynamische Systeme - Biosystemtechnik Magdeburg
Jul - Dec 2009	ERASMUS grant

Internship

Oct 2011 - Feb 2012

insilico biotechnology AG, Stuttgart (Germany)

• Modeling and analysis of complex signaling networks, e.g. misbalanced signaling by JAK2-V617F and Interleukin-6 classic- and trans-signaling
• Development of set-based methods for model invalidation, parameter estimation and experimental design
• Machine learning, data science/analytics, systems medicine in the course of the project DeepHealth (EU - HORIZONT 2020)

Winter term 2019/20	Assistant in Steuerungstechnik
Summer term 2015	Assistant in Introduction to Systems Theory
Winter term 2014/15	Assistant in Modeling and Analysis in Systems Biology
Summer term 2014	Assistant in Introduction to Systems Theory
Winter term 2013/14	Assistant in Modeling and Analysis in Systems Biology
Summer term 2013	Assistant in Systems Theory in Systems Biology
Winter term 2012/13	Assistant in Modeling and Analysis in Systems Biology

[1]	N. Rudolph. Set-based Multi-scale Modeling and Analysis of Signal Transduction Pathways. PhD thesis, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 2019.

[1]

H. Reeh, N. Rudolph, U. Billing, H. Christen, S. Streif, E. Bullinger, M. Schliemann-Bullinger, R. Findeisen, F. Schaper, H. J. Huber, and A. Dittrich. Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: Fusing experimental insights and dynamic modelling. Cell communication and signaling - London: Biomed Central, 17:46, 2019.

[6]	M. Naber, F. von Haeseler, N. Rudolph, H. J. Huber, and R. Findeisen. Effects of noisy biological data on picard iteration-based parameter estimation for a glutamate excitotoxicity pathway. In International Conference on Foundations of Systems Biology in Engineering (FOSBE), pages 64--67, Chicago, USA, 2018.
[5]	N. Rudolph, P. Andonov, H. J. Huber, and R. Findeisen. Model-supported patient stratification using set-based estimation methods. In International Symposium on Advanced Control of Chemical Processes (AdChem), pages 892--897, Shenyang, China, 2018.
[4]	F. von Haeseler, N. Rudolph, R. Findeisen, and H. J. Huber. Parameter estimation for signal transduction networks from experimental time series using picard iteration. In Advanced Control of Chemical Processes (AdChem), pages 191--196, Shenyang, China, 2018.
[3]	N. Rudolph, S. Streif, and R. Findeisen. Set-based experiment design for model discrimination using bilevel optimization. In Proceedings of Foundations of Systems Biology in Engineering (FOSBE), pages 295--299, Magdeburg, Germany, 2016.
[2]	N. Rudolph, T. Meyer, K. Franzen, C. Garbers, S. Streif, F. Schaper, A. Dittrich, and R. Findeisen. A two-level approach for fusing early signaling events and long term biological responses. In International Symposium on Advanced Control of Chemical Processes (AdChem), pages 1229--1234, Whistler, Canada, 2015.
[1]	S. Streif, N. Strobel, and R. Findeisen. Inner approximations of consistent parameter sets via constraint inversion and mixed-integer linear programming. In Proc. 12th IFAC Symposium on Computer Applications in Biotechnology (CAB), pages 326--331, Mumbai, India, 2013.

Combining modeling approaches with methods from machine learning:
• integrate patients' epidemiological data, neuroimaging information etc.
• provide decision support for physicians
See for example: Deep-Learning and HPC to Boost Biomedical Applications for Health

Quantitative modeling and analysis of signal transduction networks under consideration of uncertain data and parameters and qualitative information including:
• state and parameter estimation
• experimental design
• application of set-based estimation methods
See for example: Interleukin-6 classic- and trans-signaling as well as set-based estimation methods for guaranteed model invalidation and parameter estimation

[6]	Hendrik Alsmeier (Engineering Cybernetics). Comparative Analysis of Mathematical Models for fMRI Data Evaluation, Bachelor thesis 2019/20, Otto-von-Guericke Universität Magdeburg.
[5]	Bianca Lucas (Biosystems Engineering). Quantitative Modellierung der Epo-induzierten Signaltransduktion im JAK2-WT- und JAK2-V617F-System, Student research project 2015/16, Otto-von-Guericke Universität Magdeburg.
[4]	Daniel Rüdiger (Biosystems Engineering). Mathematical modeling of the Epo-dependent signaling pathways in the development of myeloproliferative neoplasms, Master thesis 2014/15, Otto-von-Guericke Universität Magdeburg.
[3]	Tina Meyer (Engineering Cybernetics). Mathematische Modellierung der Interleukin-6 abhängigen Signalwege, Bachelor thesis 2014, Otto-von-Guericke Universität Magdeburg.
[2]	Daniel Rüdiger (Biosystems Engineering). Student Assistant 2013, Otto-von-Guericke Universität Magdeburg.
[1]	Marco Albrecht (Biosystems Engineering). Systembiologische Untersuchung der Interleukin-6 Rezeptorassemblierung mittels mengenbasierten Parameterschätzverfahren, Bachelor thesis 2012/13, Otto-von-Guericke Universität Magdeburg.

   Go to Top