Kristine Rinke (nee Schalau)
PhD Student in the MathOpt research group
at the Faculty of Mathematics
at the Otto von Guericke University Magdeburg
Address
Universitätsplatz 2, 02-223
39106 Magdeburg, Germany
phone: +49 391 67 - 58646
Short CV
A long version is available on request.
Education/Experience
| Apr. 2013 – present: |
Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg member of IMPRS (International Max Planck Research School) |
| Jan. 2013 – present: |
Otto von Guericke University PhD student (Collaboration with Magdeburg University Hospital) |
| Jun. 2012 – Dec. 2012 |
Helmholtz-Centre for Environmental Research Magdeburg graduate assistant |
| Apr 2010 – Mai 2012 |
parental leave |
| Aug. 2008 |
Helsinki Summer School on Mathematical Ecology and Evolution |
| Mai 2005 – Mar. 2010 |
University Konstanz member of the environmental physics group |
| Oct. 1999 – Dec. 2004 |
Ernst Moritz-Arndt-University Greifswald diploma in biomathematics |
Publications
- K. Rinke, R. Bartsch, T. Fischer, E. Schalk, S. Sager. Mathematical modelling of neutropenia of AML patients treated with chemotherapy. Oncology Research and Treatment, 2014, Vol. 37, pp. 159-160, Suppl. 5, Meeting Abstract P501.
- K. Rinke, B. Kuehn, S. Bocaniov, K. Wendt-Potthoff, O. Buttner, J. Tittel, M. Schultze, P. Herzsprung, H. Ronicke, K. Rink, K. Rinke, M. Dietze, M. Matthes, L. Paul, K. Friese. Reservoirs as sentinels of catchments: the Rappbode Reservoir Observatory (Harz Mountains, Germany). Environmental Earth Sciences, 2013, Vol. 69(2), pp. 523-536.
- K. Schalau, K. Rinke, D. Straile, F. Peeters. Temperature is the key factor explaining interannual variability of Daphnia development in spring: a modelling study. Oecologia, 2008, Vol. 157(3), pp. 531-543
- K. Schalau. Optimale Steuerungsprobleme bei der Behandlung von HIV. Diploma Thesis, Ernst Moritz-Arndt-University Greifswald, 2004.
Preprints available on request.
Research interests
- Mathematical models in biology/ecology and medicine
- Physiologically structured models
- Parameter estimation
- Optimal control of clinically relevant cancer chemotherapy schedules and optimal combination of different cancer therapies