arXiv preprint · arXiv:2607.21249
Scientific output
Selected publications
Papers on cellular signaling, heterogeneity and information.
Communications Physics · 8, 496
Closed-form information capacity of canonical signaling models
Cell systems, 2022.
Making sense of BMP signaling complexity
Cell Communication and Signaling, 2021.
The tyrosine phosphatase SHP2 increases robustness and information transfer within IL-6-induced JAK/STAT signalling
Current Opinion in Systems Biology, 2021.
Information-theoretic analyses of cellular strategies for achieving high signaling capacity — dynamics, cross-wiring and heterogeneity of cellular states
Nature Communications, 2021.
Fractional response analysis reveals logarithmic cytokine responses in cellular populations
PLOS Computational Biology, 2019.
Information-theoretic analysis of multivariate single-cell signaling responses
Communications Biology, 2019.
Robustness and Information Transfer within IL-6-induced JAK/STAT Signalling
Nature Communications, 2018.
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models , MIT press, 2018.
Sensitivity Analysis
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models , MIT press, 2018.
Experimental Design
BMC Systems Biology, 2015.
Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics
BMC Systems Biology, 2015.
Computational modeling of sphingolipid metabolism
BioRxiv preprint, 2015.
Analog nitrogen sensing in Escherichia coli enables high fidelity information processing
Annals of Applied Statistics. 2013.
Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: an application to single cell data
PLOS Comp Biol. 2013.
Maximising the information content of experiments in systems biology
Bioinformatics. 2012.
StochSens– matlab package for sensitivity analysis of stochastic chemical systems
Proc Natl Acad Sci U S A. 2011.
Sensitivity, robustness, and identifiability in stochastic chemical kinetics models
BMC Bioinformatics. 2009.