Hi, I'm Reyk!

I use maths and physics to better understand climate change.

My research interests lie at the intersection of complex systems, statistical physics and earth system science. Currently, I'm a PhD student in applied mathematics at the University of Reading in England. Supervised by Professor Valerio Lucarini, my project is part of the European training network CriticalEarth, which seeks to advance our understanding of climate tipping points.

The climate crisis affects us all, and climate science evolves continuously. With this website I hope to make my research more accessible, especially also for non-scientists. Thanks for being here!

  • since 2021: PhD candidate in Applied Mathematics, University of Reading, UK
  • 2019-2021: M.Sc. in Physics, University of Copenhagen, Denmark
  • 2015-2019: B.Sc. in Physics, Free University of Berlin, Germany

News

Projects

Ocean Melancholia

Exploring the edge of multistable ocean currents

Saddle avoidance

When noise kicks you where you wouldn't expect

Modeling diurnal warm layers

A more realistic sea surface for cloud modeling

Oscillator networks with delay

Stability conditions with application to power grids

Publications

Peer-reviewed

Preprints

See also on Google Scholar.

Software

CriticalTransitions.jl

A Julia package offering a toolbox for noise- and rate-induced transitions in dynamical systems. Based on DynamicalSystems.jl and DifferentialEquations.jl.

Edge tracking in Attractors.jl

Implementation of the edge tracking algorithm to find so-called edge states or Melancholia states (chaotic saddles) in multistable dynamical systems.

DiuSST - diurnal warm layer model

Python implementation of three models of diurnal sea surface warming: the DiuSST model, the Zeng-Beljaars model, and a simple slab ocean model.

See also on Github.

Public science & outreach

Fairbrother Lecture 2024

I had the exciting opportunity to deliver the 2024 Fairbrother Lecture at the University of Reading, a public lecture given by a PhD student each year.

Breaking the walls of...

... climate predictability: Watch my 3-minute thesis pitch presented at the finals of the MSCA Falling Walls Lab 2022 competition.