Cansu Uluseker

Dr.

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Biography

Cansu Uluşeker is a mathematical modeller.  Her research is focused on the development of predictive mathematical models in synthetic and systems biology. She studied a BSc in Elementary Mathematics Education at METU in Turkey. She was interested in the application of mathematics in different fields. Therefore, she decided to pursue a Joint Erasmus Mundus MSc run by 4 European universities in mathematical engineering with a specialization in life and social sciences. Her thesis work was devoted to the modelling of leptin hormone for the insulin-glucose system for diabetes Type 2. Cansu was granted a PhD position at the University of Trento in collaboration with the Microsoft Research Center for Computational and Systems Biology. During her PhD, she developed a framework to simulate and analyse biological regulatory systems by integrating different layers of regulatory information. She worked on two projects. First, she applied a multi-level modelling approach to build a closed-loop whole-body model of glucose homeostasis, Moreover, Cansu modelled the transcriptional regulatory network of phosphate starvation response in Escherichia coli. After this, Cansu joined the University of Stavanger in Norway as a postdoctoral fellow in the JPIAMR project Genegas. There, she first became acquainted with antimicrobial resistance and developed a mathematical model to better understand and predict the spreading of resistance genes in the wastewater treatment plant.

From December 2021, Cansu joined the research group of Jan Kreft at the University of Birmingham as a Research Associate to model AMR dynamics in rivers in India. She will develop a mathematical model to understand Antimicrobial Resistance (AMR) dynamics in the rivers polluted environment and to predict antibiotic concentration in the rivers in India.

Research interests

Applied Mathematics, Systems and Synthetic Biology, Computational Biology

Education/Academic qualification

Doctor of Philosophy, UNIVERSITY OF TRENTO

Award Date: 15 Oct 2018

Master in Science

Award Date: 10 Sep 2012

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