Candan Çelik

Candan Çelik
Comenius University Bratislava · Department of Applied Mathematics and Statistics

PhD
Open for a post-doc position in mathematical biology - preferably, on gene expression models.

About

4
Publications
171
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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
Comenius University Bratislava
Position
  • Graduate Teaching Assistant
Description
  • Markov processes I-II
Education
September 2018 - June 2022
Comenius University Bratislava
Field of study
  • Applied Mathematics
January 2014 - January 2016
Ege University
Field of study
  • Applied Mathematics
September 2009 - July 2013
Ege University
Field of study
  • Mathematics

Publications

Publications (4)
Chapter
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...
Chapter
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...
Preprint
Full-text available
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...
Preprint
Full-text available
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...