Prof. Ingo Roeder, Ph.D.
© P.Benjamin/NCTDD
Chair for Medical Biometry and Statistics
NameMr Prof. Dr. rer. med. Ingo Röder
Institute Director
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Prof. Ingo Roeder is Head of the Institute for Medical Informatics and Biometry. He is a member of the Carl Gustav Carus Medical Faculty at the Technische Universität Dresden. In particular, he holds the Chair for Medical Statistics and Biometry. Since 2015 Prof. Roeder has been scientific head of the Core Unit for Data Management and Analytics (DMA) at the National Centre for Tumor Diseases (NCT) at the partner site Dresden. Between 2014 and 2018 he acted as CIO of the TU Dresden School of Medicine. Since 2018 he ihas been dean of studies at the Faculty of Medicine.
Prof. Roeder’s research focus covers the following areas:
Theoretical Biology/System medicine:
- Application of mathematical models in the context of treatment optimisation/model-based experimental/study design (e.g. regarding CML, AML, T-PLL)
- Dynamics of molecular regulation networks
- Theoretical concepts of stem cell organisation (theoretical setm cell biology)
- Clonal competition phenomena and stem cell/niche interactions
Biostatistics/Bioinformatics:
- Statistical modelling (e.g. mixed-effect models)
- Analysis of cellular genealogies
- Analysis of single cell tracking data
- Model-based trial design
- Integrative analysis of molecular data (e.g. NGS-based)
Medical Informatics:
- Data integration models
- „Big Data“ in oncology
- Integration of model predictions in processes of clinical decision-making
Publications
2014
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A model-based analysis of culture-dependent phenotypes of mESCs, 2014, In: PLoS ONE. 9, 3, p. e92496Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Model-Based Characterization of the Molecular Response Dynamics of Tyrosine Kinase Inhibitor (TKI)-Treated CML Patients – a Comparison of Imatinib and Dasatinib First-Line Therapy, 2014, In: Blood. 124, 21, 4562Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Quantification and modeling of stem cell-niche interaction, 2014, A Systems Biology Approach to Blood. Corey, S. J., Kimmel, M. & Leonard, J. N. (eds.). New York, p. 11-36, 26 p., (Advances in Experimental Medicine and Biology)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/Anthology/Report
2013
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Heparin modification of a biomimetic bone matrix for controlled release of VEGF, 1 Nov 2013, In: Journal of Biomedical Materials Research - Part A. 102, 10, p. 3500–3511, 11 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Stem cell clonality -- theoretical concepts, experimental techniques, and clinical challenges, Apr 2013, In: Blood cells, molecules & diseases : BCMD. 50, 4, p. 232-40, 9 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Model-based decision rules reduce the risk of molecular relapse after cessation of tyrosine kinase inhibitor therapy in chronic myeloid leukemia, 10 Jan 2013, In: Blood. 121, 2, p. 378-384, 7 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Comparative clonal analysis of reconstitution kinetics after transplantation of hematopoietic stem cells gene marked with a lentiviral SIN or a γ-retroviral LTR vector, Jan 2013, In: Experimental Hematology. 41, 1, p. 28-38.e3Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Mathematical modeling of oncogenesis control in mature T-cell populations, 2013, In: Frontiers in Immunology. 4, 11 p., 380Electronic (full-text) versionResearch output: Contribution to journal > Research article
2012
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On the symmetry of siblings: automated single-cell tracking to quantify the behavior of hematopoietic stem cells in a biomimetic setup, Feb 2012, In: Experimental Hematology. 40, 2, p. 119-130.e9, 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2011
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Cellular aging leads to functional heterogeneity of hematopoietic stem cells: a modeling perspective, Jun 2011, In: Aging cell. 10, 3, p. 457-465, 9 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article