DI Dr. Ines Stelzer
Postdoctoral Fellow LBI AD
Phone: +43 1 40160 - 34849
E-Mail: ines.stelzer@lbiad.lbg.ac.at
Location: Kinderspitalgasse 15, 1st floor, room 136A
Ines Stelzer joined the Department of Health Economics in September 2017.
She studied mathematics at the TU Wien, where she also did her PhD. Her research focusses on the development and the application of mathematical methods in the fields of biology and medicine. In her master’s thesis she studied fractal theory and dimensions and their application to tumour cells. During her doctorate, she investigated systems of nonlinear partial differential equations describing biological systems such as tumour growth models analytically and numerically.
Before joining the Department of Health Economics, she had worked on control theory, bioprocess modelling and nonlinear Bayesian filtering algorithms as a postdoctoral researcher at the Institute of Chemical, Environmental and Biological Engineering, TU Wien. Furthermore, Ines Stelzer has two years of work experience in the field of financial and insurance mathematics.
In her current position she is working on methodological and applied health economics research questions in the areas of personalised oncology diagnosis and treatment including individual patient-level data analyses, decision analytic modelling, health technology assessment and value of information analysis as postdoctoral fellow at the Ludwig Boltzmann Institute Applied Diagnostics.
Publications
2022
- Dillinger T, Sheibani-Tezerji R, Pulverer W, Stelzer I, Hassler MR, Scheibelreiter J, et al. Identification of tumor tissue-derived DNA methylation biomarkers for the detection and therapy response evaluation of metastatic castration resistant prostate cancer in liquid biopsies. Mol Cancer. 2022 Jan;21:7. DOI: 10.1186/s12943-021-01445-0
2020
- Stelzer IV, Sierawska A, Buyx A, Simon J. A network-based mixed methods approach to analyze current perspectives on personalized oncological medicine in Austria. J Pers Med. 2020 Dec 12;10(4),276. DOI: 10.3390/jpm10040276
2019
- Wienand D, Park A-La, Wippel C, Laszewska A, Stelzer IV, Mayer S, Goodwin G, McDaid D, Simon J (2019): The Excess Costs and Resource Use of Physical Comorbidities in Patients with Mental Health Disorders: A Systematic Review. The Journal of Mental Health Policy and Economics, 22 (Suppl 1), p 36.
2018
- Kager J, Herwig C, Stelzer IV (2018): State estimation for a penicillin fed-batch process combining particle filtering methods with online and time delayed offline measurements. Chemical Engineering Science, 177, 234-244. DOI: 10.1016/j.ces.2017.11.049
2017
- Stelzer IV, Kager J, Herwig C (2017): Comparison of Particle Filter and Extended Kalman Filter Algorithms for Monitoring of Bioprocesses. In: Espuña, A., Graells, M., Puigjaner, L. (eds.). 27th Symposium on Computer Aided Process Engineering, 40, 1483-1488, Elsevier: 1st edition. ISBN: 9780444639653
2013 and before
- Jüngel A, Stelzer IV (2013): Existence Analysis of Maxwell-Stefan Systems for Multicomponent Mixtures. SIAM Journal on Mathematical Analysis, 45(4), 2421–2440. DOI: 10.1137/120898164
- Jüngel A, Stelzer IV (2012): Entropy Structure of a Cross-Diffusion Tumor-Growth Model. Mathematical Models and Methods in Applied Sciences, 22(07), 1250009. DOI: 10.1142/S0218202512500091
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