Staff

Dr. Daniel Weindl
Postdoc

Phone: +49 89 3187-2855
E-mail
Building/Room: 58a / 012

 

Short CV

I studied general biology at the University of Würzburg, Germany, with a focus on pharmaceutical biology, biochemistry and organic chemistry. After graduating in 2012, I started my doctoral studies at the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg, Luxembourg in the Metabolomics Junior Research Group. My PhD project was partly experimental, partly computational, focused on the development and application of methods for the non-targeted analysis of stable isotope labeling metabolomics data in the context of cancer research.

After obtaining my PhD degree in 2015 and a short post-doc period at the LCSB, I joined the Institute of Computational Biology (ICB) at the Helmholtz Zentrum Munich in 2016. As postdoctoral fellow in the Data-driven Computational Modeling group, I am working on the Horizon 2020 project CanPathPro. CanPathPro aims at developing a platform for the predictive modeling of cancer signaling pathways. Therefore we are developing software tools for efficient simulation and parameter estimation of dynamical models of signalling networks.

Since 2019 I am coordinator/contributor of the BMBF-funded Junior Research Alliance PeriNAA, a joint project with clinical and experimental partners, focusing on the integrative analysis of peripheral N-acetylaspartate (NAA) metabolism. Within PeriNAA, we apply dynamical modelling of cellular metabolism to understand the role of NAA in health and disease.

Interests

Large-scale computational modeling, metabolic flux analysis, data visualization, data integration, scientific programming

Software development

I am or have been (co-)developping the following scientific open-source softwares:

Currently:

Formerly:

Social media

https://twitter.com/dweindl

Grants

  • PeriNAA - Integrative analysis of peripheral N-acetylaspartate metabolism (# 01ZX1916A)
    A BMBF-funded e:Med Junior Research alliance. A collaboration with the University Medical Center Hamburg-Eppendorf (UKE) and the Technical University of Braunschweig (TUBS).
  • Statistical inference for large-scale ordinary differential equation (ODE) models of cancer signaling (pr62li)
    Computing grant, together with Jan Hasenauer, over 9.7M core hours on SuperMUC phase 2 at that the Leibniz computing center.

Full list of publications

ResearchGate profile
GoogleScholar profile
Publons profile
ORCID: 0000-0001-9963-6057

Publications during my time at ICB are listed below.

Publications:

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