People - 01.08.2022 - 00:00
1 August 2022. Prof. Dr. Lyudmila Grigoryeva completed her Bachelor's degree in Computer Science at Uzhhorod National University (Ukraine) in 2004, where she completed her Master's degree in Information Control Systems and Technologies one year later. She did her doctorate at Taras Shevchenko National University of Kyiv, at the Faculty of Cybernetics, in the Department of Computational Mathematics and graduated in 2009. From 2006 to 2013, she held various positions at Taras Shevchenko National University of Kyiv, including as Teaching Assistant, Research Engineer and Junior Research Fellow. At the end of 2010, she worked in a postdoctoral capacity at Masaryk University in Brno (Czech Republic). She then participated in postdoctoral work from 2011 to 2015 at Laboratoire de Mathématiques de Besançon, Université Bourgogne-Franche-Comté (France). She was awarded a renowned grant from the Schlumberger Foundation twice in a row for this stay. In October 2015, she was appointed Assistant Professor at the University of Konstanz. Since 2017, she has been guest lecturer/visiting professor several times at various universities, including École Polytechnique Fédérale de Lausanne (EPFL) and Nanyang Technological University (NTU, Singapore). Before her move to the University of St.Gallen (HSG), she was Associate Professor in the Department of Statistics at the University of Warwick and Course Director for Data Science since September 2021.
Research on machine learning
The research performed by Prof. Dr. Lyudmila Grigoryeva is developing around the following two main areas of interest: (i) the theoretical foundations of machine learning for dynamic processes, particularly reservoir computing systems, and (ii) the modelling, classification and forecasting of time series with parametric and non-parametric machine learning models. She is especially interested in researching the accuracy of proposed approaches in specific applications, which range from the natural sciences to social sciences. In the context of economic sciences, the use of reliable and comprehensible learning models as a quantitative tool is of central importance as a result of the global social consequences of economic research.
The research activities of Prof. Dr. Lyudmila Grigoryeva lead her to the interface of various disciplines and into a wide range of fields, extending from information technology to data science, economic sciences and finance. She has already contributed successfully to the relevant literature with various articles, which have been published in the most important journals in the field of machine learning and computational science. Prof. Dr. Lyudmila Grigoryeva’s research has already received various awards. In addition, she has successfully submitted several research projects that were financed by the Swiss National Science Foundation and other public national research funding institutions.