Background 

last updated: January 2023


I am a computational political scientist and data scientist. I currently hold the position of Research Officer at the European Institute (LSE), where I am involved in the ERC-funded project JUSTINT. Additionally, I am in my final year as a PhD candidate at the Department of International Relations at the London School of Economics and Political Science (LSE). In my research, I employ Text-as-Data and other Data Science-based approaches within the social sciences. My current academic focus primarily encompasses Comparative Political Science, International Relations, and Media Studies, although I also maintain a keen interest in Economics and Finance due to my background.


My PhD dissertation seeks to answer the question, 'What do news media in Putin’s Russia reveal about the regime’s survival strategy?' At the European Institute (JUSTINT), my work revolves around data science-based approaches to Transitional Justice in the Balkans. More specifically, my responsibilities include  applying Text as Data methods, web scraping, statistical analysis, and broader research design. 


Additionally, I freelance as a Research Assistant (RA), typically working on Data Science or Text-as-Data projects. In 2021/2022, I worked as a part-time RA for Katerina Tertychnaya (Oxford) and Tomila Lankina (LSE). Prior to that, I held similar roles for various projects at Warwick, SOAS, Waseda, LSE, and Princeton.  


Starting in 2022, I have also been assisting Dominique Lieven (Cambridge | LSE) with the Paulsen Programme, a charity which offers support to young scholars in Russia who may not have the financial means to travel abroad. 


I have also contributed to the development of Marimo in R and Quanteda tutorials. In addition, I spent the spring of 2019 as a visiting researcher at Waseda University in Japan. My work at Waseda revolved around improving an LSA-based package.


I hold an MSc in Political Science and Political Economy from the LSE and an MSc in Economics from Warwick University. During my BSc studies, I spent a year as an exchange student at Central University in Beijing. My BSc degree is in Mathematical Economics.


Prior to returning to academia for my MSc, I accumulated over 4 years of experience working with people and data at one of the Big Four international financial consultancies. My work primarily revolved around individuals and businesses in Russia and Ukraine.


I speak fluent English, Russian, and not-that-fluent Mandarin (HSK 4). I also understand/read in Ukrainian and Tatar as these are my native languages. 


If you are interested in hiring me in the UK, you would not need to sponsor a work permit, as I have been recognised as a Global Talent by the British Academy.


Reviewer 


Journal of Refugee Studies, Nationalities Papers, Communist and Post-Communist Studies.  


Teaching assistant roles


2020-2021


MY470 Computer Programming (LSE)

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

MSc in International Relations dissertation surgeries (LSE)


2019-2020


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


Programming:


TensorFlow: Qwik Start | Qwiklabs

Coursera: NLP Specialisation (NLTK, Vector spaces)

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)


Grants


Postgraduate

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)


Undergraduate

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


Selected presentations and invited talks


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 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