Dr Vitaliy Kurlin is a mathematician by training and has completed his PhD in Geometry and Topology at Moscow State University in 2003. He was a Marie Curie International Incoming Fellow in 2005-2007 and was awarded the EPSRC grant “Persistent Topological Structures in Noisy Images” in 2011-2013. He is now working as a Data Scientist at the Materials Innovation Factory and as an Associate Professor in the Department of Computer Science at the University of Liverpool, United Kingdom. His current research interests are applications of Topological Data Analysis to Climate Systems, Materials Science and Computer Vision.
The PhD project funded by Intel is entitled “Topological Analysis of Climate Systems”. The purpose of this interdisciplinary research is twofold. Our first aim is to develop topological methods for detecting persistent patterns in climate data. For example, we shall employ applied topology for predicting extreme climate phenomena such as atmospheric rivers, which cause severe floods in California and United Kingdom. Our second aim is to discover an intrinsic low-dimensional representation or shape of the climate. This representation should work across all scales from local to global and will help construct climate models with relatively few variables that are enough to truly describe the dynamics of the climate system. For building such a low-dimensional shape of climate, we shall use modern methods of dimensionality reduction together with Topological Data Analysis, which can capture and quantify highly non-linear persistent structures hidden in big and raw data. We plan to include the developed code into the Toolkit for Extreme Climate Analysis (TECA) used at the Berkeley lab for parallel computations. The target audiences are Climate Scientists and Data Scientists working in applications.