معرفی
Noga Zaslavsky is an Assistant Professor in the Psychology Department at New York University, focusing on understanding language, learning, and reasoning through machine learning and information theory.
- Interdisciplinary work bridging cognitive science, neural networks, and language evolution
- Research on emergent communication, semantic compression, and human-AI alignment
Recent publications (2024-2023) emphasize:
- Information-theoretic models for language and cognition
- Human concept learning under compression constraints
- ANN-brain alignment with realistic training
- Emergent communication in complex environments
- Universals in conceptual representation across languages
Scientific awards:
- ELSC Prize for Outstanding Publication (2018)
Her work explores pragmatic reasoning, semantic systems, and evolutionary dynamics through computational principles.
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