Jonathan Elkobi

Jonathan Elkobi Yonathan Elkobi

PhD Student

Department of Political Science, Yale

Greetings, שלום, 你好

I am a first-year PhD student in the Department of Political Science at Yale. I received my Master’s in Chinese Political Economy from the School of Global Policy and Strategy at UC San Diego, and my BA from the joint program in Business Administration and East Asian Studies at the Hebrew University of Jerusalem. My research focuses on developing computational methods, mainly using Large Language Models (LLMs) and Natural Language Processing (NLP), to measure political constructs in political communication and elite politics. My goal is to develop methods for political scientists to better understand political leaders’ influence over policy-making, predominantly in authoritarian regimes. My substantive interest lies in the intersection of elite politics and financial markets, especially in the Chinese context.

Interests
  • Large Language Models
    Text-as-Data
    Natural Language Processing
  • Chinese Political Economy
  • Elite Politics
    and Political Communication
Education
  • PhD in Political Science, 2024-2030 (expected)

    Yale University

  • Master in Chinese Economics and Political Affairs, 2022-2024

    School of Global Policy and Strategy, UC San Diego

  • BA in Business Administarion and East Asian Studies, 2019-2022

    The Hebrew University of Jerusalem

Experience

 
 
 
 
 
Research Assistant
China Data Lab, 21st Century China Center, UC San Dan Diego
December 2022 – Present San Diego, California, US

Responsibilities include:

  • Develop Natural Language Processing Algorithm to conduct Topic Modelling on streaming corpora with millions of newspapers articles using machine learning frameworks
  • Analyze the Chinese Local Bond Market using time series analysis, and fixed effect regressions
  • Enhance an Elite Database by scraping data from external official Chinese Government websites and applying GPT API calls to extract relevant information
 
 
 
 
 
Software Engineering Research Intern
Data Science Center, German Aerospace Center
June 2022 – August 2022 Jena, Germany
Developed machine learning type inference algorithm by combining machine learning and novelty detection, achieved high assurance F1 scores for automated type inference
 
 
 
 
 
Research Project Manager
Digital Humanities Lab, The Hebrew Univeristy of Jerusalem
August 2021 – September 2022 Jerusalem, Israel
Developed computational pipelines in Python using NLP models, Data Mining, Big Data Analysis, and Machine Learning