Candan ÇelikComenius University Bratislava · Department of Applied Mathematics and Statistics
Candan Çelik
PhD
Open for a post-doc position in mathematical biology - preferably, on gene expression models.
About
4
Publications
171
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2
Citations
Introduction
I am a PhD candidate in applied mathematics at Comenius University. My research interests lie in mathematical biology, stochastic processes, differential equations, and systems biology.
Open for potential collaborations and/or a post-doc position in mathematical biology for the academic year of 2022.
Additional affiliations
September 2019 - June 2020
Education
September 2018 - June 2022
January 2014 - January 2016
September 2009 - July 2013
Publications
Publications (4)
Chemical reaction networks involving molecular species at low copy numbers lead to stochasticity in protein levels in gene expression at the single-cell level. Mathematical modelling of this stochastic phenomenon enables us to elucidate the underlying molecular mechanisms quantitatively. Here we present a two-stage stochastic gene expression model...
Regulatory molecules such as transcription factors are often present at relatively small copy numbers in living cells. The copy number of a particular molecule fluctuates in time due to the random occurrence of production and degradation reactions. Here we consider a stochastic model for a self-regulating transcription factor whose lifespan (or tim...
Chemical reaction networks involving molecular species at low copy numbers lead to stochasticity in protein levels in gene expression at the single-cell level. Mathematical modelling of this stochastic phenomenon enables us to elucidate the underlying molecular mechanisms quantitatively. Here we present a two-stage stochastic gene expression model...
Regulatory molecules such as transcription factors are often present at relatively small copy numbers in living cells. The copy number of a particular molecule fluctuates in time due to the random occurrence of production and degradation reactions. Here we consider a stochastic model for a self-regulating transcription factor whose lifespan (or tim...
