last updated: Feb 2022

Currently, I am a 4th year PhD Candidate at the LSE. I am interested in Text as Data and other Data Science-based approaches in social sciences.

My dissertation at the LSE is an attempt to answer the question "What do news media in Russia reveal about the regime’s survival strategy?" In doing so, I try to embrace the approaches from Media Studies, Political Science, and International Relations.

I also work on two JUSTINT projects at the LSE, where I am responsible for Text as Data, web scraping, statistical analysis, as well as broader research design. The projects are focused on MPs' communication in Croatia and bias in Serbian courts verdicts.

Additionally, I freelance doing RAs. These are usually Data Science or Text as Data projects. In 2021/2022, I work(ed) as a part-time RA for prof Tertychnaya (UCL) and prof Lankina (LSE). Previously, I worked in similar roles for various projects at Warwick, SOAS, Waseda, LSE, and Princeton. From 2022, I am also assisting Prof Lieven (Cambridge | LSE) with the Paulsen Programme which provides support to young historians who lack the financial opportunity to travel outside Russia.

I have also contributed to developing Marimo in R and Quanteda tutorials.

I hold MSc in Political Science and Political Economy from the LSE and MSc in Economics from Warwick. Additionally, I spent a year as at Central University of Finance and Economics in Beijing. My BSc is in Mathematical Economics.

Before returning to academia to do my MSc, I spent more than 4 years working with people and data in finance in one of the Big Four consultancies in CIS.

I speak English, Russian, and Mandarin (HSK 4). I also understand /read in Volga Tatar and Ukrainian.

Teaching assistant roles


IR100 International Relations: Theories, Concepts and Debates (LSE)

MY470 Computer Programming (LSE)

MSc in International Relations dissertation surgeries (LSE)


IR100 International Relations: Theories, Concepts and Debates (LSE)

MY464 Introduction to Quantitative Methods for Media and Communications (LSE)

Quantitative methodology surgeries (LSE)

MSc in International Relations dissertation surgeries (LSE)

3B Quantitative Text Analysis at Essex Summer School in Social Science Data Analysis (University of Essex)

Workshop in computational text analysis (LSE)

Selected methodology training

MY470 Computer Programming (Python and R), LSE

MY459 Quantitative Text Analysis, LSE

MY457 Causal Inference for Observational and Experimental Studies, LSE

MY452 Applied Regression Analysis, LSE

IR509 Research Design, LSE

Quantitative Text Analysis, Essex Summer School, UK

Advanced Machine Learning for Social Scientists, Essex Summer School

Quantitative Text Analysis for Political Science, Waseda University, Japan

Udemy: Hands On Natural Language Processing (NLP) using Python

Udemy: Python Beyond the Basics - Object-Oriented Programming

Coursera: Applied Data Science with Python (University of Michigan) (APIs, web scraping, SQLite, basic NLP and ML)



SICSS: 800 GBP to fund AWS services (2021-2022)

The Great Britain Sasakawa Foundation: 1000 GBP to support a research collaboration (2019)

Waseda University (早稲田大学), Japan: 1500 GBP to support a research collaboration in Text as Data methods at Waseda, Tokyo (2019)

LSE, full studentship and scholarship for the PhD (2018-2022)


Central University of Finance and Economics, China (中央财经大学) full studentship and scholarship for 9 months language exchange programme in Beijing

Full studentship and scholarship for BSc in Mathematical Economics


APSA 2021. Panel “Political Affairs through the Lens of Russian Media” (panel organiser and speaker)

Connected_Politics Lab Seminar Series. University College Dublin. Oct 2021. "What do mass media in Russia reveal about the regime’s survival strategy?"

LSE. Oct 2021. "Talking about justice and building peace after mass atrocity"

LSE. Dec 2021. Data Science Institute Research Showcase

selected conferences and workshops where I presented various parts of my dissertation

ISA 2021, EPSA 2021, BISA 2021, ASN 2021, NESEEES 2021 (NYU), IC2S2 (MIT) 2020, VWAR 2020, Zurich Text as Data (Zurich ETH and UZH) 2019