Defne Plätturk

Profile

PhD Student.

Understanding multicellularity through mathematics. Enjoys getting lost with challenging problems.

The complex and dynamic nature of biological systems always stimulated me and I am particularly drawn to interdisciplinary working areas where mathematics and biology intertwine. Currently, at IceLab-Umeå University, I am studying on evolution of multicellularity. My background in applied mathematics guides me as I delve into the evolution of multicellularity, and I’m driven to unravel complex developmental processes through my mathematical expertise.

I received my MSc degree in Mathematics from Izmir Institute of Technology. During my master’s degree, I studied ordinary and partial differential equations and their numerical solutions. I investigated the solution properties of physical and chemical problems as I implemented numerical algorithms to solve and/or simulate them.

Beyond the academic realm, I am from Izmir and I enjoy watching art house cinema, listening to timeless tunes, and spending time in nature through hiking and camping.

Current Projects

The evolutionary origins of developmental programs

Defne Plätturk, Eric Libby

The Latest Posts

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Center for modeling adaptive mechanisms in living systems under stress

Center for modeling adaptive mechanisms in living systems under stress

FUNDING NEWS: Center for modeling adaptive mechanisms in living systems under stress at IceLab Martin Rosvall, together with Åke Brännström, Sebastian Diehl, Maria Fällman and Åsa Strand of IceLab have been [...]

Science’s communication problem – and a solution

Science’s communication problem – and a solution

Science's communication problem - and a solution! June 8, 2023 Watch Lunch Pitch Video Pitch 1: Atin Sharma: Science has a communication problem. Let’s do [...]

Secondary metabolite discovery and a plant wall biodesign opportunity

Secondary metabolite discovery and a plant wall biodesign opportunity

Secondary metabolite discovery and a plant wall biodesign opportunity May 25, 2023 Watch Lunch Pitch Video Pitch 1: Laura Carroll: Machine learning approaches for microbial [...]

Predicting gene expression, microproteins, and new tools

Predicting gene expression, microproteins, and new tools

Predicting gene expression, microproteins, and new tools May 11, 2023 Watch Lunch Pitch Video Pitch 1: Jian-Feng Mao: Predicting allele-specific gene expression (ASE) in poplar [...]

Algal photosynthesis, statistical tools, becoming Bayesian, and modelling cell shape.

Algal photosynthesis, statistical tools, becoming Bayesian, and modelling cell shape.

In search of collaborators to study algal photosynthesis, becoming Bayesian, cell shape and apply statistical tools. May 4, 2023 Five researchers pitched projects during the IceLab multidisciplinary postdoctoral project call information [...]

Conifers adapting to light and using autoencoders on zero-filled data

Conifers adapting to light and using autoencoders on zero-filled data

Conifers adapting to light and using autoencoders on zero-filled data April 27, 2023 Watch Lunch Pitch Video Pitch 1: Sonali Ranade: Adaptation in the Christmas [...]