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Research Portal of the TU Dresden

Prof. Dr. sc. techn. Ivo Fabian Sbalzarini
Person

Affiliations

Chair of Scientific Computing for Systems Biology
- Full Professor
- ivo.sbalzarini@tu-dresden.de
Faculty of Computer Sciences
- Dean
Clusters of Excellence PoL: Physics of Life
- Associate member
Faculty of Mathematics
- Associated/Co-opted member of the faculty

External positions

Director, Center for Systems Biology Dresden (CSBD)

1 Oct 2014 → …

Research Group Leader, Max Planck Institute of Molecular Cell Biology and Genetics

1 Jun 2012 → …

Identification Numbers

ORCID	0000-0003-4414-4340
Scopus author ID	8650204800

Related content

Research output
Activities

Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems

Perez, S., Maddu, S., Sbalzarini, I. F. & Poncet, P., 15 Oct 2023, In: Journal of computational physics. 491, 112342.

Research output: Contribution to journal › Research article › Contributed › peer-review

Spontaneous flow instabilities of active polar fluids in three dimensions

Singh, A., Vagne, Q., Jülicher, F. & Sbalzarini, I. F., Apr 2023, In: Physical Review Research. 5, 2, L022061.

Research output: Contribution to journal › Research article › Contributed › peer-review

Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces

Veettil, S. K. T., Zavalani, G., Acosta, U. H., Sbalzarini, I. F. & Hecht, M., 2023, In: SIAM journal on scientific computing. 45, 4, p. A1995-A2018

Research output: Contribution to journal › Research article › Contributed › peer-review

Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology

Soans, K. G., Ramos, A. P., Sidhaye, J., Krishna, A., Solomatina, A., Hoffmann, K. B., Schlüßler, R., & 4 othersGuck, J., Sbalzarini, I. F., Modes, C. D. & Norden, C., 21 Nov 2022, In: Current biology. 32, 22, p. 4817-4831.e9

Research output: Contribution to journal › Research article › Contributed › peer-review

Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution

Susik, M., Schönborn, H. & Sbalzarini, I. F., Sept 2022, In: Forensic science international : official journal of the International Society for Forensic Genetics. 60, 9 p., 102744.

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (75)

Machine Learning of Spatio-Temporal Models from Image Data

Sbalzarini, I. F. (Speaker)

8 Jun 2022

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Invited

Data-driven modeling of living matter

Sbalzarini, I. F. (Speaker)

3 Jun 2022

Activity: Talk or presentation at external institutions/events › Keynote › Invited

Systembiologie: Wird die Informatik auch die klinische Forschung revolutionieren?

Sbalzarini, I. F. (Speaker)

10 Sept 2021

Activity: Talk or presentation at external institutions/events › Keynote › Invited

Computational Developmental Biology

Sbalzarini, I. F. (Speaker)

22 Oct 2020

Activity: Talk or presentation at external institutions/events › Lecture › Invited

Learning Biological Dynamics from Microscopy Videos

Sbalzarini, I. F. (Speaker)

15 Jul 2020

Activity: Talk or presentation at external institutions/events › Lecture › Invited

View all activities (47)