Konstantinos C. Zygalakis
School of Mathematics
University of Edinburgh
James Clerk Maxwell Building,
Edinburgh EH9 3FD

Research interests

As an applied mathematician I have a wide range of research interests. In particular, I started my career working on multiscale methods for stochastic differential equations such as homogenization, which I later during my first postodoctoral position I used for modelling plant soil interactions. Stochastic computation plays a central role in my research, spanning applications in mathematical biology, computational statistics, and data science. A common theme of my research is the use of analytic techniques combined with numerical computations in order to tackle the problem in question

Some recent research talks and videos

The following video is a research overview I gave at the Alan Turing Institute in 2017

The following talk is from a talk that I gave here Workshop on multiscale methods for deterministic and stochastic dynamics at the University of Geneva in 2017 on the Ergodic Stochastic Differential Equations and Sampling: A numerical analysis perspective

The following video is from a talk that I gave here Workshop on multiscale methods for deterministic and stochastic dynamics at the University of Geneva in 2020 on the Hybrid modelling for the stochastic simulation of multiscale chemical kinetics


Last modified on April 24, 2020 by Konstantinos Zygalakis