My methodological research interests include text analysis, machine learning, record linkage and data visualisation. Substantively, I’m interested in comparative and British politics, political communication and lobbying. In my current research I analyse how organisations get access to government and what other strategies they employ to affect policy. I am also affiliated with the Art & Reconciliation project, in which we applied cutting-edge text analysis methods to transitional justice debates and also created art installation to make text-as-data approach more accessible to the general public.
I am teaching a range of quantitative methods courses and espouse experiential learning pedagogy for training in empirical political science research and data analysis.
Prior to starting my PhD I have spent some time in data science industry. I received my BA in Political Psychology from the St Petersburg State University, Department of Psychology and my MSc in Social Research Methods from LSE. Apart from social science training, I also have a diploma in Software Engineering from the SPbU, Faculty of Mathematics and Mechanics.