Dr. Niklas Hartung

wissenschaftlicher Mitarbeiter

Kontakt
Raum:
2.09.2.13
Telefon:
+49 331 977-5561

 

Sprechzeiten: nach Vereinbarung, Absprache per E-Mail

 

 

Curriculum Vitae

Seit 09/2016    

Wissenschaftlicher Mitarbeiter
Mathematische Modellierung und Systembiologie
Institut für Mathematik, Universität Potsdam

05/2015 - 08/2016    

Wissenschaftlicher Mitarbeiter
Klinische Pharmazie und Biochemie
Institut für Pharmazie, Freie Universität Berlin

10/2011 - 12/2014   

Promotion "Mathematical modelling of metastatic growth and in vivo imaging"
Institut für Mathematik, Aix-Marseille Université (Frankreich)

10/2006 - 09/2011   

Mathematikstudium
Albert-Ludwigs-Universität Freiburg, Universidad de Sevilla (Spanien), Université de Provence (Frankreich)

Publikationen

J. Melin, N. Hartung, Z.P. Parra-Guillen, M.J. Whitaker, R.J. Ross, C. Kloft

The circadian rhythm of corticosteroid-binding globulin has little impact on cortisol exposure after hydrocortisone dosing
Clinical Endocrinology (2019) doi: 10.1111/cen.13969
Journal

C. Gomez, N. Hartung
Stochastic and Deterministic Models for the Metastatic Emission Process: Formalisms and Crosslinks

In: von Stechow L. (eds) Cancer Systems Biology. Methods Mol. Biol. (2018) 1711:193-224
Journal

N. Hartung, U. Benary, J. Wolf, B. Kofahl
Paracrine and autocrine regulation of gene expression by Wnt-inhibitor Dickkopf in wild-type and mutant hepatocytes

BMC Systems Biology (2017) 11:98e017608074
Journal

L. Ehmann, M. Zoller, I. K. Minichmayr, C. Scharf, B. Maier, M. V. Schmitt, N. Hartung, W. Huisinga, M. Vogeser, L. Frey, J. Zander, C. Kloft
Role of renal function in risk assessment of target non-attainment after standard dosing of meropenem in critically ill patients: A prospective observational study
Critical Care (2017) 21:263
Journal

J. Melin, Z.P. Parra-Guillen, N. Hartung, W. Huisinga, R.J. Ross, M.J. Whitaker, C. Kloft
Predicting Cortisol Exposure from Paediatric Hydrocortisone Formulation Using a Semi-Mechanistic Pharmacokinetic Model Established in Healthy Adults
Clin Pharmacokinet. (2017) doi: 10.1007/s40262-017-0575-8
Journal

M. Smith, S. Moodie, R. Bizzotto, E. Blaudez, E. Borella, L. Carrara, P. Chan, M. Chenel, E. Comets, R. Gieschke, K. Harling, L. Harnisch, N. Hartung, A. Hooker, M. Karlsson, R. Kaye, C. Kloft, N. Kokash, M. Lavielle, G. Lestini, P. Magni, A. Mari, F. Mentré, C. Muselle, R. Nordgren, H. B. Nyberg, Z. Parra-Guillen, L. Pasotti, N. Kristensen, M. L. Sardu, G. Smith, M. Swat, N. Terranova, G. Yngman, F. Yvon, N. Holford
Model Description Language (MDL): A Standard for Modelling and Simulation
CPT: Pharmacometrics & Systems Pharmacology (2017) doi:10.1002/psp4.12222
Journal

N. Hartung, C.T. Huynh, C. Gaudy-Marqueste, A. Flavian, N. Malissen, M.A. Richard-Lallemand, F. Hubert, J.-J. Grob
Study of metastatic kinetics in metastatic melanoma treated with B-RAF inhibitors: Introducing mathematical modelling of kinetics into the therapeutic decision

PLoS One (2017) 12(5):e017608074
Journal

N. Hartung
Efficient Resolution of Metatatic Tumour Growth Models by Reformulation into Integral Equations
Discrete Continuous Dyn. Syst. Ser. B 20 (2015), pp 445-467
Journal

N. Hartung
Modelling of metastatic growth and in vivo imaging
PhD thesis (defended 15/12/2014)
Link

N. Hartung, S. Mollard, D. Barbolosi, A. Benabdallah, G. Chapuisat, G. Henry, S. Giacometti, A. Iliadis, J. Ciccolini, C. Faivre, F. Hubert
Mathematical modelling of tumor growth and metastatic spreading: validation in tumor-bearing mice

Cancer Res. 74 (2014), pp 6397-6407
Journal

N. Hartung, F. Hubert
An efficient implementation of a 3D CeVeFE DDFV scheme on Cartesian grids and an application in image processing

Finite Volumes for Complex Applications VII, Springer Proceedings in Mathematics & Statistics 78 (2014), pp 637-645
Journal

N. Hartung
Parameter non-identifiability of the Gyllenberg-Webb ODE model

J. Math. Biol. 68 (2014), pp 41-55
Journal