Scholar
Daniel Chechelnitsky
Google Scholar ID: -fBi7PQAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
5
H-index
1
i10-index
0
Publications
3
Co-authors
4
list available
Publications
Resume (English only)
Background
- PhD student at Carnegie Mellon University's Language Technologies Institute, supported by a CMU Portugal Program Scholarship.
- Broadly interested in computational social science, natural language processing, and human-computer interaction.
- Especially focused on using decolonial computing methods—such as ethnographically informed algorithmic auditing and community-centered design—to expose and combat systemic biases in language models.
- Currently developing practical skills in multimodal machine learning as part of PhD coursework.
- Fluent in English and Russian; conversational in Mandarin Chinese and Portuguese.
