Applied Researcher | PhD in Sociology At the intersection of Computational Social Science, NLP, and AI Evaluation.
I design end-to-end research pipelines for large-scale, messy, and multilingual data. My core strength is translating complex technical findings into actionable insights for non-technical stakeholders.
- AI Evaluation: Comparing LLM outputs against human judgment.
- Data Pipelines: Building automated collection systems (Python) and conducting mixed-methods social research.
- Digital Trace Analysis: Navigating complex online environments (text, networks, images, video).
| Category | Tools & Methods |
|---|---|
| Data Collection | YouTube API, Telegram, automated daily collection systems |
| NLP & Text | Topic modeling, semantic networks, framing analysis |
| Network Analysis | Social networks, communities, core-periphery structures |
| Computer Vision | Object detection/recognition, co-occurrence analysis |
Here I will store my selected projects, drafts and ideas
Connect with me: [www.linkedin.com/in/ilya-sulzhytski]